diff --git "a/data/scores_paper.csv" "b/data/scores_paper.csv" --- "a/data/scores_paper.csv" +++ "b/data/scores_paper.csv" @@ -8,7 +8,7 @@ claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,cluewsc,CLUEWSC,Chinese,%,8 claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,cnmo_2024,CNMO 2024,Math,%,13.1,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=13.1. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,codeforces_rating,Codeforces Rating,Coding,Elo rating,717.0,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1 paper Table 15: claude-3.5-sonnet=717. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,drop,DROP,Reasoning,%,88.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=88.3. -claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,frames,Frames,Agentic search,,72.5,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=72.5. +claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,frames,Frames,Agentic search,%,72.5,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=72.5. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,gpqa_diamond,GPQA Diamond,Science,% correct,65.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=65.0. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,gpqa_main,GPQA Main (full set),Science,,65.0,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (claude-3.5-sonnet column): gpqa=65.0. Third-party Cohere reproduction, mc=false." claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,gsm8k,GSM8K,Math,% correct,96.4,https://llm-stats.com/benchmarks/gsm8k,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Claude 3.5 Sonnet, slug=claude-3-5-sonnet-20241022, provider=Anthropic" @@ -20,7 +20,7 @@ claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,longbench_v2,LongBench-V2,L claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,math,MATH,Math,,78.3,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Claude 3.5 Sonnet, slug=claude-3-5-sonnet-20241022, provider=Anthropic" claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,math_500,MATH-500,Math,% correct,78.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=78.3. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mathvista,MathVista,Math/Vision,%,67.7,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Claude 3.5 Sonnet, slug=claude-3-5-sonnet-20241022, provider=Anthropic" -claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mgsm,MGSM,Math,%,91.6,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Claude 3.5 Sonnet, slug=claude-3-5-sonnet-20240620, provider=Anthropic" +claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mgsm,MGSM,Math,exact match (%),91.6,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Claude 3.5 Sonnet, slug=claude-3-5-sonnet-20240620, provider=Anthropic" claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mmlu_pro,MMLU-Pro,Knowledge,% correct,78.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: claude-3.5-sonnet=78.0. claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mmmlu,MMMLU,Knowledge,% correct,82.1,https://www.anthropic.com/news/claude-3-7-sonnet,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic 3.7 Sonnet blog cross-model: Claude 3.5 Sonnet (new) MMMLU=82.1% claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,mmmu,MMMU,Multimodal,% correct,70.4,https://www.anthropic.com/news/claude-3-7-sonnet,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic 3.7 Sonnet blog cross-model: Claude 3.5 Sonnet (new) MMMU=70.4% @@ -45,7 +45,7 @@ claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,livecodebench,LiveCodeBench,Coding claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,math_500,MATH-500,Math,% correct,82.2,https://www.anthropic.com/news/claude-3-7-sonnet,official_blog,verified,True,"{""effort"": null, ""harness"": ""official"", ""judge"": ""official harness"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}","Anthropic blog, no extended thinking. 96.2% (extended) excluded." claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,mmmlu,MMMLU,Knowledge,% correct,85.9,https://www.anthropic.com/news/claude-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none""}",Anthropic Claude 4 blog cross-model table. claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,mmmu,MMMU,Multimodal,% correct,75.0,https://www.anthropic.com/news/claude-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none""}",Anthropic Claude 4 blog cross-model table (MMMU validation). -claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,mt_aime_2024,MT-AIME2024,Math,,80.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Claude 4 blog cross-model table: with extended thinking for GPQA/MMMU/AIME/TAU; no extended thinking for SWE/Terminal/MMMLU."", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}","llm-stats.com row: model=Claude 3.7 Sonnet, slug=claude-3-7-sonnet-20250219, provider=Anthropic" +claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,mt_aime_2024,MT-AIME2024,Math,%,80.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Claude 4 blog cross-model table: with extended thinking for GPQA/MMMU/AIME/TAU; no extended thinking for SWE/Terminal/MMMLU."", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}","llm-stats.com row: model=Claude 3.7 Sonnet, slug=claude-3-7-sonnet-20250219, provider=Anthropic" claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,smt_2025,SMT 2025,Math,% correct (pass@1),56.6,https://matharena.ai/?comp=smt--smt_2025,leaderboard,verified,True,"""extended_thinking""", claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,swe_bench_verified,SWE-bench Verified,Coding,% resolved,62.3,https://www.anthropic.com/news/claude-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""simple bash+editor scaffold"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 10 trials)"", ""temperature"": ""top_p=0.95"", ""tools"": ""agentic (bash + edit)""}",Anthropic Claude 4 blog cross-model table: Sonnet 3.7 = 62.3% / 70.3% w/ parallel. claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,tau_bench_airline,tau-bench Airline,Agentic,% success,58.4,https://www.anthropic.com/news/claude-4,official_blog,verified,False,"{""effort"": ""default"", ""harness"": ""τ-bench official + max steps 100"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""prompt addendum to Agent Policy (Anthropic)"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""agentic (TAU-bench official tools)""}",Anthropic Claude 4 blog cross-model table. @@ -114,13 +114,13 @@ claude-opus-4.5,Claude Opus 4.5,Anthropic,aime_2026,AIME 2026,Math,% correct (pa claude-opus-4.5,Claude Opus 4.5,Anthropic,arc_agi_1,ARC-AGI-1,Reasoning,% correct,84.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=84.0. claude-opus-4.5,Claude Opus 4.5,Anthropic,arc_agi_2,ARC-AGI-2,Reasoning,% correct,37.6,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Anthropic Opus 4.5 blog table: 37.6% (Verified, novel problem solving)." claude-opus-4.5,Claude Opus 4.5,Anthropic,artifactsbench,ArtifactsBench,Coding,%,68.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=68.5. -claude-opus-4.5,Claude Opus 4.5,Anthropic,babyvision,BabyVision,Multimodal,,16.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=16.2. +claude-opus-4.5,Claude Opus 4.5,Anthropic,babyvision,BabyVision,Multimodal,% accuracy,16.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=16.2. claude-opus-4.5,Claude Opus 4.5,Anthropic,beyond_aime,Beyond AIME,Math,%,69.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=69.0. claude-opus-4.5,Claude Opus 4.5,Anthropic,browsecomp,BrowseComp,Agentic,% correct,67.8,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic (web search + fetch + programmatic tool calling, context compaction at 50k up to 10M)""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 67.8. claude-opus-4.5,Claude Opus 4.5,Anthropic,browsecomp_zh,BrowseComp-ZH,Agentic search,,62.4,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5 blog: claude-opus-4.5=62.4. claude-opus-4.5,Claude Opus 4.5,Anthropic,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,90.91,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=high""",GitHub repo source; not yet verified. R5g(c). -claude-opus-4.5,Claude Opus 4.5,Anthropic,charxiv_descriptive,CharXiv Descriptive,Vision,%,92.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=92.7. -claude-opus-4.5,Claude Opus 4.5,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),67.2,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=67.2. +claude-opus-4.5,Claude Opus 4.5,Anthropic,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,92.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=92.7. +claude-opus-4.5,Claude Opus 4.5,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,67.2,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=67.2. claude-opus-4.5,Claude Opus 4.5,Anthropic,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1469.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: claude-opus-4-5-20251101 (rank 19). ELO updates continuously; score reflects latest available. claude-opus-4.5,Claude Opus 4.5,Anthropic,codeforces_rating,Codeforces Rating,Coding,Elo rating,1701.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=1701. claude-opus-4.5,Claude Opus 4.5,Anthropic,collie,COLLIE,Instruction Following,%,79.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=79.8. @@ -129,7 +129,7 @@ claude-opus-4.5,Claude Opus 4.5,Anthropic,deepsearchqa_acc,DeepSearchQA (Accurac claude-opus-4.5,Claude Opus 4.5,Anthropic,erqa,ERQA,Vision,%,48.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=48.3. claude-opus-4.5,Claude Opus 4.5,Anthropic,factscore,FActScore (hallucination rate),Hallucination,%,91.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=91.1. claude-opus-4.5,Claude Opus 4.5,Anthropic,finance_agent,Finance Agent v1.1,Agentic,% solved,58.8,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 58.8. -claude-opus-4.5,Claude Opus 4.5,Anthropic,frames,Frames,Agentic search,,84.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=84.7. +claude-opus-4.5,Claude Opus 4.5,Anthropic,frames,Frames,Agentic search,%,84.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=84.7. claude-opus-4.5,Claude Opus 4.5,Anthropic,frontiermath,FrontierMath,Math,% correct T1-3,20.7,https://epoch.ai/benchmarks/frontiermath,leaderboard,verified,False,"{""context"": ""32k thinking"", ""effort"": ""high"", ""mode"": ""thinking"", ""tools"": ""none""}",epoch.ai FrontierMath-2025-02-28-Private: claude-opus-4-5-20251101_32K (32k thinking) = 20.7%. Canonical requires 64K thinking budget but epoch only has 16k (20.3%) and 32k (20.7%); used 32k as closest. BP had 21.0 (likely rounded from 20.7). claude-opus-4.5,Claude Opus 4.5,Anthropic,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1416.0,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 1416. claude-opus-4.5,Claude Opus 4.5,Anthropic,global_piqa,Global PIQA,Reasoning,,91.6,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): global_piqa 91.6 (3rd-party Qwen self-test)." @@ -139,7 +139,7 @@ claude-opus-4.5,Claude Opus 4.5,Anthropic,graphwalks_bfs_0k_128k,GraphWalks BFS claude-opus-4.5,Claude Opus 4.5,Anthropic,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,96.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=96.2. claude-opus-4.5,Claude Opus 4.5,Anthropic,healthbench,HealthBench,Knowledge,%,36.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=36.3. claude-opus-4.5,Claude Opus 4.5,Anthropic,hle,HLE (Humanity's Last Exam),Reasoning,% correct,30.8,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 30.8. -claude-opus-4.5,Claude Opus 4.5,Anthropic,hle_text,HLE Text,Search Agent,%,43.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=43.2. +claude-opus-4.5,Claude Opus 4.5,Anthropic,hle_text,HLE Text,Reasoning,%,43.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=43.2. claude-opus-4.5,Claude Opus 4.5,Anthropic,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),43.2,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,False,"""with tools, pass@1""",Reported in Kimi K2.5 HF model card (no asterisk = publicly available official score). Reference is Kimi card. claude-opus-4.5,Claude Opus 4.5,Anthropic,hmmt_feb_2025,HMMT Feb 2025,Math,%,92.9,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=92.9. claude-opus-4.5,Claude Opus 4.5,Anthropic,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,91.7,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5 blog: claude-opus-4.5=91.7. @@ -155,16 +155,16 @@ claude-opus-4.5,Claude Opus 4.5,Anthropic,matharena_apex_2025,MathArena Apex 202 claude-opus-4.5,Claude Opus 4.5,Anthropic,mathvision,MathVision,Math,% correct,77.1,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=77.1. claude-opus-4.5,Claude Opus 4.5,Anthropic,mathvista,MathVista,Math/Vision,%,80.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: claude-opus-4.5=80.6. claude-opus-4.5,Claude Opus 4.5,Anthropic,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),62.3,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 62.3. -claude-opus-4.5,Claude Opus 4.5,Anthropic,mcpmark,MCPMark,Agentic,,42.3,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 42.3 (3rd-party Qwen self-test)." +claude-opus-4.5,Claude Opus 4.5,Anthropic,mcpmark,MCPMark,Agentic,% success (pass@1),42.3,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 42.3 (3rd-party Qwen self-test)." claude-opus-4.5,Claude Opus 4.5,Anthropic,mmlu_pro,MMLU-Pro,Knowledge,% correct,89.3,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=89.3. claude-opus-4.5,Claude Opus 4.5,Anthropic,mmmlu,MMMLU,Knowledge,% correct,90.8,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.5 blog table: 90.8% (avg 14 non-English languages). claude-opus-4.5,Claude Opus 4.5,Anthropic,mmmu,MMMU,Multimodal,% correct,80.7,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Anthropic Opus 4.5 blog table: 80.7% (validation, with extended thinking)." claude-opus-4.5,Claude Opus 4.5,Anthropic,mmmu_pro,MMMU-Pro,Multimodal,% correct,70.6,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.5 = 70.6. claude-opus-4.5,Claude Opus 4.5,Anthropic,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,56.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-opus-4.5=56.2. -claude-opus-4.5,Claude Opus 4.5,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,,52.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=52.8. +claude-opus-4.5,Claude Opus 4.5,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,%,52.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=52.8. claude-opus-4.5,Claude Opus 4.5,Anthropic,multichallenge,MultiChallenge,Instruction Following,%,54.2,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 54.2 (3rd-party Qwen self-test)." claude-opus-4.5,Claude Opus 4.5,Anthropic,nl2repo_bench,NL2Repo-Bench,Repository Code,%,43.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-opus-4.5=43.2. -claude-opus-4.5,Claude Opus 4.5,Anthropic,ojbench,OJBench,Coding,,54.6,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=54.6. +claude-opus-4.5,Claude Opus 4.5,Anthropic,ojbench,OJBench,Coding,%,54.6,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=54.6. claude-opus-4.5,Claude Opus 4.5,Anthropic,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.123,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=87.7. [Converted 87.7% (1-LED higher-better) → 0.123 (edit distance lower-better) for cross-source consistency] claude-opus-4.5,Claude Opus 4.5,Anthropic,osworld,OSWorld,Agentic,% success,66.3,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""OSWorld official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic (browser/computer use)""}",Anthropic Opus 4.5 blog table: 66.3% (computer use). claude-opus-4.5,Claude Opus 4.5,Anthropic,scicode,SciCode,Coding,% correct,49.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: claude-opus-4.5=49.5. @@ -191,10 +191,10 @@ claude-opus-4.6,Claude Opus 4.6,Anthropic,aime_2025,AIME 2025,Math,% correct (pa claude-opus-4.6,Claude Opus 4.6,Anthropic,aime_2026,AIME 2026,Math,% correct (pass@1),95.6,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: claude-opus-4.6=95.6. claude-opus-4.6,Claude Opus 4.6,Anthropic,arc_agi_1,ARC-AGI-1,Reasoning,% correct,93.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""max (120K)"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}","arcprize.org leaderboard audit: Claude Opus 4.6 (120K, Max) on leaderboard" claude-opus-4.6,Claude Opus 4.6,Anthropic,arc_agi_2,ARC-AGI-2,Reasoning,% correct,68.8,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""120k thinking budget"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 68.8. -claude-opus-4.6,Claude Opus 4.6,Anthropic,babyvision,BabyVision,Multimodal,,14.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: claude-opus-4.6=14.8. +claude-opus-4.6,Claude Opus 4.6,Anthropic,babyvision,BabyVision,Multimodal,% accuracy,14.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: claude-opus-4.6=14.8. claude-opus-4.6,Claude Opus 4.6,Anthropic,browsecomp,BrowseComp,Agentic,% correct,83.7,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.6 = 83.7%. claude-opus-4.6,Claude Opus 4.6,Anthropic,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,92.73,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""",GitHub repo source; not yet verified. R5g(c). -claude-opus-4.6,Claude Opus 4.6,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),61.5,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Mythos sys card Table 6.3.A: Opus 4.6 = 61.5%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." +claude-opus-4.6,Claude Opus 4.6,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,61.5,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Mythos sys card Table 6.3.A: Opus 4.6 = 61.5%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." claude-opus-4.6,Claude Opus 4.6,Anthropic,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1496.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: claude-opus-4-6 (rank 3). ELO updates continuously; score reflects latest available. claude-opus-4.6,Claude Opus 4.6,Anthropic,chinese_simpleqa,Chinese-SimpleQA,Knowledge,%,76.4,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 76.4. claude-opus-4.6,Claude Opus 4.6,Anthropic,critpt,CritPt,Science,% correct,12.6,https://artificialanalysis.ai/evaluations/critpt,third_party,verified,,"{""effort"": ""max (adaptive reasoning)"", ""harness"": ""AA standard evaluation"", ""mode"": ""thinking"", ""notes"": ""AA slug: claude-opus-4-6-adaptive; critpt=12.6%"", ""sampling"": ""pass@1""}",ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA CritPT eval page: claude-opus-4-6-adaptive critpt=0.126 → 12.6%. AA adaptive = max-effort adaptive reasoning variant. @@ -206,7 +206,7 @@ claude-opus-4.6,Claude Opus 4.6,Anthropic,gdpval_aa_elo,GDPval (Artificial Analy claude-opus-4.6,Claude Opus 4.6,Anthropic,gpqa_diamond,GPQA Diamond,Science,% correct,91.3,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Mythos sys card Table 6.3.A: Opus 4.6 = 91.3%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." claude-opus-4.6,Claude Opus 4.6,Anthropic,gpqa_main,GPQA Main (full set),Science,,91.3,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""up to 1M"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.6, slug=claude-opus-4-6, provider=Anthropic" claude-opus-4.6,Claude Opus 4.6,Anthropic,hle,HLE (Humanity's Last Exam),Reasoning,% correct,40.0,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Mythos sys card Table 6.3.A: Opus 4.6 = 40.0%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." -claude-opus-4.6,Claude Opus 4.6,Anthropic,hle_text,HLE Text,Search Agent,%,53.1,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""up to 1M"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.6, slug=claude-opus-4-6, provider=Anthropic" +claude-opus-4.6,Claude Opus 4.6,Anthropic,hle_text,HLE Text,Reasoning,%,53.1,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""up to 1M"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.6, slug=claude-opus-4-6, provider=Anthropic" claude-opus-4.6,Claude Opus 4.6,Anthropic,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),96.2,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 96.2. claude-opus-4.6,Claude Opus 4.6,Anthropic,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,96.3,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: claude-opus-4.6=96.3. claude-opus-4.6,Claude Opus 4.6,Anthropic,ifbench,IFBench,Instruction Following,% correct,53.0,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: claude-opus-4.6=53.0. @@ -215,7 +215,7 @@ claude-opus-4.6,Claude Opus 4.6,Anthropic,livecodebench,LiveCodeBench,Coding,pas claude-opus-4.6,Claude Opus 4.6,Anthropic,matharena_apex_2025,MathArena Apex 2025,Math,% correct,34.5,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 34.5. claude-opus-4.6,Claude Opus 4.6,Anthropic,mathvision,MathVision,Math,% correct,71.2,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: claude-opus-4.6=71.2. claude-opus-4.6,Claude Opus 4.6,Anthropic,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),75.8,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.6 = 75.8%. -claude-opus-4.6,Claude Opus 4.6,Anthropic,mcpmark,MCPMark,Agentic,,56.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: claude-opus-4.6=56.7. +claude-opus-4.6,Claude Opus 4.6,Anthropic,mcpmark,MCPMark,Agentic,% success (pass@1),56.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: claude-opus-4.6=56.7. claude-opus-4.6,Claude Opus 4.6,Anthropic,mmlu_pro,MMLU-Pro,Knowledge,% correct,89.1,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 89.1. claude-opus-4.6,Claude Opus 4.6,Anthropic,mmmlu,MMMLU,Knowledge,% correct,91.1,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}","Mythos sys card Table 6.3.A: Opus 4.6 = 91.1%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." claude-opus-4.6,Claude Opus 4.6,Anthropic,mmmu_pro,MMMU-Pro,Multimodal,% correct,73.9,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-opus-4.6 = 73.9. @@ -223,7 +223,7 @@ claude-opus-4.6,Claude Opus 4.6,Anthropic,mrcr_v1,MRCR v1,Long-context,,92.9,htt claude-opus-4.6,Claude Opus 4.6,Anthropic,mrcr_v2,MRCR v2,Long Context,% correct,84.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 93.0 from https://www.vellum.ai/blog/claude-opus-4-6-benchmarks deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: MRCR v2 8-needle 128k average 84.0% claude-opus-4.6,Claude Opus 4.6,Anthropic,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,93.0,https://llm-stats.com/benchmarks/mrcr-v2-(8-needle),third_party_aggregator,verified_third_party,True,"{""context"": ""up to 1M"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.6, slug=claude-opus-4-6, provider=Anthropic" claude-opus-4.6,Claude Opus 4.6,Anthropic,nl2repo_bench,NL2Repo-Bench,Repository Code,%,49.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-5.1 blog: claude-opus-4.6=49.8. -claude-opus-4.6,Claude Opus 4.6,Anthropic,ojbench,OJBench,Coding,,60.3,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: claude-opus-4.6=60.3. +claude-opus-4.6,Claude Opus 4.6,Anthropic,ojbench,OJBench,Coding,%,60.3,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: claude-opus-4.6=60.3. claude-opus-4.6,Claude Opus 4.6,Anthropic,osworld,OSWorld,Agentic,% success,72.7,https://www-cdn.anthropic.com/8b8380204f74670be75e81c820ca8dda846ab289.pdf,tech_report,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}","Mythos sys card Table 6.3.A: Opus 4.6 = 72.7%. Verified per Anthropic standard config (thinking max effort, default sampling, avg 5 trials)." claude-opus-4.6,Claude Opus 4.6,Anthropic,scicode,SciCode,Coding,% correct,52.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Created from https://deepmind.google/models/gemini/pro/ (cross-model table). DeepMind /models/gemini/pro/ cross-model Performance table: SciCode 52% [Promoted to verified — official DeepMind table.] claude-opus-4.6,Claude Opus 4.6,Anthropic,simpleqa_verified,SimpleQA-Verified,Knowledge,% correct (pass@1),46.2,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): claude-opus-4.6 (per their own canonical config) = 46.2. @@ -241,7 +241,7 @@ claude-opus-4.7,Claude Opus 4.7,Anthropic,arc_agi_1,ARC-AGI-1,Reasoning,% correc claude-opus-4.7,Claude Opus 4.7,Anthropic,arc_agi_2,ARC-AGI-2,Reasoning,% correct,75.8,https://arcprize.org/leaderboard,leaderboard,verified,False,"{""effort"": ""max"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: Claude 4.7 (Max) on leaderboard; canonical is default effort claude-opus-4.7,Claude Opus 4.7,Anthropic,browsecomp,BrowseComp,Agentic,% correct,79.3,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 79.3%. claude-opus-4.7,Claude Opus 4.7,Anthropic,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,80.0,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""", -claude-opus-4.7,Claude Opus 4.7,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),82.1,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 82.1%. +claude-opus-4.7,Claude Opus 4.7,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,82.1,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 82.1%. claude-opus-4.7,Claude Opus 4.7,Anthropic,cybergym,CyberGym,Agentic,% solved,73.1,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 73.1%. claude-opus-4.7,Claude Opus 4.7,Anthropic,finance_agent,Finance Agent v1.1,Agentic,% solved,64.4,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 64.4%. claude-opus-4.7,Claude Opus 4.7,Anthropic,frontiermath,FrontierMath,Math,% correct T1-3,43.8,https://openai.com/index/introducing-gpt-5-5/,third_party,verified,False,,GPT-5.5 blog table: FrontierMath Tier 1–3=43.8%; third-party self-test by OpenAI @@ -249,7 +249,7 @@ claude-opus-4.7,Claude Opus 4.7,Anthropic,frontiermath_tier4,FrontierMath Tier 4 claude-opus-4.7,Claude Opus 4.7,Anthropic,gpqa_diamond,GPQA Diamond,Science,% correct,94.2,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 94.2%. claude-opus-4.7,Claude Opus 4.7,Anthropic,gpqa_main,GPQA Main (full set),Science,,94.2,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Terminus-2 (for terminal-bench, thinking disabled)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.7 announcement table. Default thinking mode with extended thinking; Terminal-Bench uses Terminus-2 harness with thinking disabled (1× guaranteed/3× ceiling, avg 5 attempts)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.7, slug=claude-opus-4-7, provider=Anthropic" claude-opus-4.7,Claude Opus 4.7,Anthropic,hle,HLE (Humanity's Last Exam),Reasoning,% correct,46.9,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 46.9%. -claude-opus-4.7,Claude Opus 4.7,Anthropic,hle_text,HLE Text,Search Agent,%,54.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Terminus-2 (for terminal-bench, thinking disabled)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.7 announcement table. Default thinking mode with extended thinking; Terminal-Bench uses Terminus-2 harness with thinking disabled (1× guaranteed/3× ceiling, avg 5 attempts)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.7, slug=claude-opus-4-7, provider=Anthropic" +claude-opus-4.7,Claude Opus 4.7,Anthropic,hle_text,HLE Text,Reasoning,%,54.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Terminus-2 (for terminal-bench, thinking disabled)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.7 announcement table. Default thinking mode with extended thinking; Terminal-Bench uses Terminus-2 harness with thinking disabled (1× guaranteed/3× ceiling, avg 5 attempts)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Opus 4.7, slug=claude-opus-4-7, provider=Anthropic" claude-opus-4.7,Claude Opus 4.7,Anthropic,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),77.3,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 77.3%. claude-opus-4.7,Claude Opus 4.7,Anthropic,mmmlu,MMMLU,Knowledge,% correct,91.5,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 91.5%. claude-opus-4.7,Claude Opus 4.7,Anthropic,osworld,OSWorld,Agentic,% success,78.0,https://www.anthropic.com/news/claude-opus-4-7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Opus 4.7 blog table: claude-opus-4.7 = 78.0%. @@ -280,7 +280,7 @@ claude-sonnet-4,Claude Sonnet 4,Anthropic,math_500,MATH-500,Math,% correct,94.0, claude-sonnet-4,Claude Sonnet 4,Anthropic,mmlu_pro,MMLU-Pro,Knowledge,% correct,84.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: claude-sonnet-4=84. claude-sonnet-4,Claude Sonnet 4,Anthropic,mmmlu,MMMLU,Knowledge,% correct,86.5,https://www.anthropic.com/news/claude-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none""}",Anthropic Claude 4 blog table. Avg over 14 non-English languages. claude-sonnet-4,Claude Sonnet 4,Anthropic,mmmu,MMMU,Multimodal,% correct,74.4,https://www.anthropic.com/news/claude-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none""}",Anthropic Claude 4 blog table (MMMU validation). -claude-sonnet-4,Claude Sonnet 4,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,,35.7,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: claude-sonnet-4=35.7. +claude-sonnet-4,Claude Sonnet 4,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,%,35.7,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: claude-sonnet-4=35.7. claude-sonnet-4,Claude Sonnet 4,Anthropic,scicode,SciCode,Coding,% correct,40.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: claude-sonnet-4=40. claude-sonnet-4,Claude Sonnet 4,Anthropic,simpleqa,SimpleQA,Knowledge,% correct,15.9,https://arxiv.org/abs/2507.20534,tech_report,verified,False,"{""context"": ""8192 max output tokens"", ""effort"": ""default"", ""harness"": ""Kimi team evaluation (official API)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""unified (Kimi team setting)"", ""tools"": ""none (benchmark-specified)""}","Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking, 8192 max output tokens." claude-sonnet-4,Claude Sonnet 4,Anthropic,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,56.9,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: claude-sonnet-4=56.9. @@ -308,7 +308,7 @@ claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,browsecomp,BrowseComp,Agentic,% co claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,browsecomp_zh,BrowseComp-ZH,Agentic search,,42.4,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-4.7 blog: claude-sonnet-4.5=42.4. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,brumo_2025,BRUMO 2025,Math,% correct (pass@1),90.83,https://matharena.ai/?comp=brumo--brumo_2025,,verified,,,Confirmed brumo_2025=90.83% on matharena.ai model page. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,65.45,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=high""",GitHub repo source; not yet verified. R5g(c). -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),68.5,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 68.5% +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,68.5,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 68.5% claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),66.88,https://matharena.ai/?comp=cmimc--cmimc_2025,,verified,,,Confirmed cmimc_2025=66.88% on matharena.ai model page. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,codeforces_rating,Codeforces Rating,Coding,Elo rating,1480.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=1480. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,collie,COLLIE,Instruction Following,%,77.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=77.3. @@ -316,7 +316,7 @@ claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,deepsearchqa_acc,DeepSearchQA (Acc claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,factscore,FActScore (hallucination rate),Hallucination,%,90.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=90.6. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,finance_agent,Finance Agent v1.1,Agentic,% solved,54.5,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 54.5. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,finsearchcomp_global,FinSearchComp-Global,Search Agent,%,60.8,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",MiniMax M2 model card: claude-sonnet-4.5=60.8. -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,frames,Frames,Agentic search,,78.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=78.7. +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,frames,Frames,Agentic search,%,78.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=78.7. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,gaia,GAIA (text only),Agentic,%,71.2,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",MiniMax M2 model card: claude-sonnet-4.5=71.2. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1276.0,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 1276. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,global_piqa,Global PIQA,Reasoning,,90.1,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: Global PIQA 90.1% @@ -326,7 +326,7 @@ claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,graphwalks_bfs_0k_128k,GraphWalks claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,99.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=99.0. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,healthbench,HealthBench,Knowledge,%,44.2,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: claude-sonnet-4.5=44.2. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,hle,HLE (Humanity's Last Exam),Reasoning,% correct,17.7,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 17.7. -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,hle_text,HLE Text,Search Agent,%,32.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-sonnet-4.5=32.0. +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,hle_text,HLE Text,Reasoning,%,32.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-sonnet-4.5=32.0. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,hmmt_feb_2025,HMMT Feb 2025,Math,%,79.2,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=79.2. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,81.7,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=81.7. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,ifbench,IFBench,Instruction Following,% correct,57.0,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: claude-sonnet-4.5=57.0. @@ -338,17 +338,17 @@ claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,longfact_concepts,LongFact-Concept claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,longfact_objects,LongFact-Objects (hallucination rate),Hallucination,%,98.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=98.8. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,matharena_apex_2025,MathArena Apex 2025,Math,% correct,1.56,https://matharena.ai/?comp=apex--apex_2025,,verified,,,Confirmed matharena_apex_2025=1.56% on matharena.ai model page. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),43.8,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 43.8. -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mcpmark,MCPMark,Agentic,,32.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-sonnet-4.5=32.1. +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mcpmark,MCPMark,Agentic,% success (pass@1),32.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-sonnet-4.5=32.1. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mmlu_pro,MMLU-Pro,Knowledge,% correct,88.2,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: claude-sonnet-4.5=88.2. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mmmlu,MMMLU,Knowledge,% correct,89.1,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.5 blog table: Sonnet 4.5 = 89.1%. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mmmu,MMMU,Multimodal,% correct,77.8,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Opus 4.5 blog table: Sonnet 4.5 = 77.8%. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mmmu_pro,MMMU-Pro,Multimodal,% correct,63.4,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.5 = 63.4. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mrcr_v2,MRCR v2,Long Context,% correct,47.1,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 47.1% [Promoted to verified, prior unverified value deleted per R5d.]" claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,47.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=47.1. -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,,44.3,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: claude-sonnet-4.5=44.3. +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,multi_swe_bench,Multi-SWE-bench,Coding,%,44.3,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: claude-sonnet-4.5=44.3. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,multichallenge,MultiChallenge,Instruction Following,%,57.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: claude-sonnet-4.5=57.3. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,nl2repo_bench,NL2Repo-Bench,Repository Code,%,39.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: claude-sonnet-4.5=39.9. -claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,ojbench,OJBench,Coding,,30.4,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: claude-sonnet-4.5=30.4. +claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,ojbench,OJBench,Coding,%,30.4,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: claude-sonnet-4.5=30.4. claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.145,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 edit distance 0.145 claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.145,,official_blog,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 0.145 (third-party self-test by Google DeepMind) claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,osworld,OSWorld,Agentic,% success,61.4,https://www.anthropic.com/news/claude-opus-4-5,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""OSWorld official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic (browser/computer use)""}",Anthropic Opus 4.5 blog table: Sonnet 4.5 = 61.4%. @@ -386,7 +386,7 @@ claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,gdpval_aa_elo,GDPval (Artificial A claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,gpqa_diamond,GPQA Diamond,Science,% correct,89.9,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 89.9. claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,gpqa_main,GPQA Main (full set),Science,,89.9,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""max"", ""harness"": ""Terminus-2 (terminal-bench, thinking off); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Sonnet 4.6 announcement: max thinking effort default; Terminal-Bench=thinking off, Terminus-2; SWE-bench=avg 10 trials; BrowseComp/HLE-with-tools have specific tool configs (web search/fetch + 50k context compaction)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5-15 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Sonnet 4.6, slug=claude-sonnet-4-6, provider=Anthropic" claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,hle,HLE (Humanity's Last Exam),Reasoning,% correct,33.2,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 33.2. -claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,hle_text,HLE Text,Search Agent,%,49.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""max"", ""harness"": ""Terminus-2 (terminal-bench, thinking off); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Sonnet 4.6 announcement: max thinking effort default; Terminal-Bench=thinking off, Terminus-2; SWE-bench=avg 10 trials; BrowseComp/HLE-with-tools have specific tool configs (web search/fetch + 50k context compaction)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5-15 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Sonnet 4.6, slug=claude-sonnet-4-6, provider=Anthropic" +claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,hle_text,HLE Text,Reasoning,%,49.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""max"", ""harness"": ""Terminus-2 (terminal-bench, thinking off); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Sonnet 4.6 announcement: max thinking effort default; Terminal-Bench=thinking off, Terminus-2; SWE-bench=avg 10 trials; BrowseComp/HLE-with-tools have specific tool configs (web search/fetch + 50k context compaction)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5-15 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Claude Sonnet 4.6, slug=claude-sonnet-4-6, provider=Anthropic" claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),61.3,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""agentic""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 61.3. claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,mmmlu,MMMLU,Knowledge,% correct,89.3,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg 14 non-English languages"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 89.3. claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,mmmu_pro,MMMU-Pro,Multimodal,% correct,74.5,https://www.anthropic.com/news/claude-sonnet-4-6,official_blog,verified,True,"{""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""updated grading: separate Sonnet 4 grader; no 'think step-by-step' prefix"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none""}",Anthropic Sonnet 4.6 blog table: claude-sonnet-4.6 = 74.5. @@ -435,18 +435,18 @@ deepseek-r1,DeepSeek-R1,DeepSeek,codeforces_rating,Codeforces Rating,Coding,Elo deepseek-r1,DeepSeek-R1,DeepSeek,collie,COLLIE,Instruction Following,%,34.2,https://arxiv.org/abs/2504.13914,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Seed-Thinking-v1.5 paper Table 2: deepseek-r1=34.2. deepseek-r1,DeepSeek-R1,DeepSeek,critpt,CritPt,Science,% correct,1.1,https://github.com/CritPt-Benchmark/CritPt,leaderboard,verified,True,"""CritPt leaderboard, ε=1.5, % tasks solved""", deepseek-r1,DeepSeek-R1,DeepSeek,drop,DROP,Reasoning,%,92.2,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepSeek R1 paper Table 3 (page 9, R1 final): 92.2." -deepseek-r1,DeepSeek-R1,DeepSeek,frames,Frames,Agentic search,,82.5,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=82.5. +deepseek-r1,DeepSeek-R1,DeepSeek,frames,Frames,Agentic search,%,82.5,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=82.5. deepseek-r1,DeepSeek-R1,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,71.5,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=71.5. deepseek-r1,DeepSeek-R1,DeepSeek,gpqa_main,GPQA Main (full set),Science,,81.0,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" deepseek-r1,DeepSeek-R1,DeepSeek,hle,HLE (Humanity's Last Exam),Reasoning,% correct,8.5,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=8.5. -deepseek-r1,DeepSeek-R1,DeepSeek,hle_text,HLE Text,Search Agent,%,17.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" +deepseek-r1,DeepSeek-R1,DeepSeek,hle_text,HLE Text,Reasoning,%,17.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" deepseek-r1,DeepSeek-R1,DeepSeek,hmmt_feb_2025,HMMT Feb 2025,Math,%,41.7,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=41.7. deepseek-r1,DeepSeek-R1,DeepSeek,ifbench,IFBench,Instruction Following,% correct,38.0,https://github.com/allenai/IFBench,leaderboard,verified,True,"""IFBench score, 0-shot""", deepseek-r1,DeepSeek-R1,DeepSeek,ifeval,IFEval,Instruction Following,% correct (prompt strict),83.3,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepSeek R1 paper Table 3 (page 9, R1 final): 83.3." deepseek-r1,DeepSeek-R1,DeepSeek,livecodebench,LiveCodeBench,Coding,pass@1 %,65.9,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepSeek R1 paper Table 3 (page 9, R1 final): 65.9." deepseek-r1,DeepSeek-R1,DeepSeek,math_500,MATH-500,Math,% correct,97.3,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepSeek R1 paper Table 3 (page 9, R1 final): 97.3." deepseek-r1,DeepSeek-R1,DeepSeek,mmlu_pro,MMLU-Pro,Knowledge,% correct,84.0,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=84.0. -deepseek-r1,DeepSeek-R1,DeepSeek,mt_aime_2024,MT-AIME2024,Math,,91.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" +deepseek-r1,DeepSeek-R1,DeepSeek,mt_aime_2024,MT-AIME2024,Math,%,91.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" deepseek-r1,DeepSeek-R1,DeepSeek,simpleqa,SimpleQA,Knowledge,% correct,30.1,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1=30.1. deepseek-r1,DeepSeek-R1,DeepSeek,supergpqa,SuperGPQA,Science,%,60.5,https://arxiv.org/abs/2504.13914,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Seed-Thinking-v1.5 paper Table 2: deepseek-r1=60.5. deepseek-r1,DeepSeek-R1,DeepSeek,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,30.5,https://llm-stats.com/benchmarks/swe-bench-multilingual,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-R1-0528, slug=deepseek-r1-0528, provider=DeepSeek" @@ -463,7 +463,7 @@ deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,chatbot_arena_elo,Chatbot Arena Elo,H deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),69.38,https://matharena.ai/?comp=cmimc--cmimc_2025,,verified,,, | Verified: matharena.ai shows 69.38% deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,cnmo_2024,CNMO 2024,Math,%,86.9,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=86.9. deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,codeforces_rating,Codeforces Rating,Coding,Elo rating,1930.0,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=1930. -deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,frames,Frames,Agentic search,,83.0,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=83.0. +deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,frames,Frames,Agentic search,%,83.0,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=83.0. deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,81.0,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=81.0. deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,hle,HLE (Humanity's Last Exam),Reasoning,% correct,17.7,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=17.7. deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,hmmt_feb_2025,HMMT Feb 2025,Math,%,79.4,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1-0528 model card: deepseek-r1-0528=79.4. @@ -490,7 +490,7 @@ deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,livebench,L deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,livecodebench,LiveCodeBench,Coding,pass@1 %,54.5,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): LiveCodeBench v5 54.5 [R5d: prior unverified value 57.5 from https://arxiv.org/abs/2501.12948 deleted.]" deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,math_500,MATH-500,Math,% correct,94.5,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): MATH-500 94.5" deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,mmmlu,MMMLU,Knowledge,% correct,69.6,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): MMMLU 14 langs 69.6" -deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,mt_aime_2024,MT-AIME2024,Math,,29.3,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): MT-AIME2024 29.3" +deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,mt_aime_2024,MT-AIME2024,Math,%,29.3,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): MT-AIME2024 29.3" deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,multi_if,Multi-IF,Instruction Following,%,57.6,https://arxiv.org/abs/2505.09388,tech_report,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3 tech report (arxiv:2505.09388) Table 13 baseline column for DeepSeek-R1-Distill-Llama-70B (third-party Qwen self-test, matches_canonical=false): Multi-IF 57.6" deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,aime_2024,AIME 2024,Math,% correct (pass@1),4.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=4.6. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,c_eval,C-Eval (Chinese),Knowledge,%,78.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=78.6. @@ -498,7 +498,7 @@ deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,chinese_simpleqa,Chinese-SimpleQA,Kno deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,cluewsc,CLUEWSC,Chinese,%,89.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=89.9. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,cnmo_2024,CNMO 2024,Math,%,2.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=2.8. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,drop,DROP,Reasoning,%,83.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=83.0. -deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,frames,Frames,Agentic search,,66.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=66.9. +deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,frames,Frames,Agentic search,%,66.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=66.9. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,35.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=35.3. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,humaneval,HumanEval,Coding,pass@1 %,69.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=69.3. deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,ifeval,IFEval,Instruction Following,% correct (prompt strict),57.7,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2-0506=57.7. @@ -515,7 +515,7 @@ deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,chinese_simpleqa,Chinese-SimpleQA deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,cluewsc,CLUEWSC,Chinese,%,90.4,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=90.4. deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,cnmo_2024,CNMO 2024,Math,%,10.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=10.8. deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,drop,DROP,Reasoning,%,87.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=87.8. -deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,frames,Frames,Agentic search,,65.4,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=65.4. +deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,frames,Frames,Agentic search,%,65.4,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=65.4. deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,41.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=41.3. deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,gsm8k,GSM8K,Math,% correct,95.1,https://llm-stats.com/benchmarks/gsm8k,third_party_aggregator,verified_third_party,False,"{""snapshot"": ""0905""}","llm-stats.com row: model=DeepSeek-V2.5, slug=deepseek-v2.5, provider=DeepSeek" deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,humaneval,HumanEval,Coding,pass@1 %,77.4,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v2.5-0905=77.4. @@ -541,7 +541,7 @@ deepseek-v3,DeepSeek-V3,DeepSeek,cluewsc,CLUEWSC,Chinese,%,90.9,https://arxiv.or deepseek-v3,DeepSeek-V3,DeepSeek,cnmo_2024,CNMO 2024,Math,%,43.2,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=43.2. deepseek-v3,DeepSeek-V3,DeepSeek,codeforces_rating,Codeforces Rating,Coding,Elo rating,1134.0,https://arxiv.org/html/2501.12948v1,academic_paper,verified,True,, deepseek-v3,DeepSeek-V3,DeepSeek,drop,DROP,Reasoning,%,91.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=91.6. -deepseek-v3,DeepSeek-V3,DeepSeek,frames,Frames,Agentic search,,73.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=73.3. +deepseek-v3,DeepSeek-V3,DeepSeek,frames,Frames,Agentic search,%,73.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=73.3. deepseek-v3,DeepSeek-V3,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,59.1,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=59.1. deepseek-v3,DeepSeek-V3,DeepSeek,gpqa_main,GPQA Main (full set),Science,,53.6,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (deepseek-v3 column): gpqa=53.6. Third-party Cohere reproduction, mc=false." deepseek-v3,DeepSeek-V3,DeepSeek,gsm8k,GSM8K,Math,% correct,89.3,https://github.com/deepseek-ai/DeepSeek-V3,tech_report,verified,True,"""GSM8K, 8-shot EM, README Table""", @@ -554,7 +554,7 @@ deepseek-v3,DeepSeek-V3,DeepSeek,math,MATH,Math,,68.5,https://cohere.com/researc deepseek-v3,DeepSeek-V3,DeepSeek,math_500,MATH-500,Math,% correct,90.2,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=90.2. deepseek-v3,DeepSeek-V3,DeepSeek,mbpp_plus,MBPP+,Coding,,86.5,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (deepseek-v3 column): mbpp_plus=86.5. Third-party Cohere reproduction, mc=false." deepseek-v3,DeepSeek-V3,DeepSeek,mmlu_pro,MMLU-Pro,Knowledge,% correct,75.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=75.9. -deepseek-v3,DeepSeek-V3,DeepSeek,mt_aime_2024,MT-AIME2024,Math,,59.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=DeepSeek-V3 0324, slug=deepseek-v3-0324, provider=DeepSeek" +deepseek-v3,DeepSeek-V3,DeepSeek,mt_aime_2024,MT-AIME2024,Math,%,59.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=DeepSeek-V3 0324, slug=deepseek-v3-0324, provider=DeepSeek" deepseek-v3,DeepSeek-V3,DeepSeek,repoqa,RepoQA,Coding,,91.2,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (deepseek-v3 column): repoqa=91.2. Third-party Cohere reproduction, mc=false." deepseek-v3,DeepSeek-V3,DeepSeek,simpleqa,SimpleQA,Knowledge,% correct,24.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: deepseek-v3=24.9. deepseek-v3,DeepSeek-V3,DeepSeek,swe_bench_verified,SWE-bench Verified,Coding,% resolved,42.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",DeepSeek V3 paper Table 6: deepseek-v3=42.0. @@ -582,7 +582,7 @@ deepseek-v3.2,DeepSeek-V3.2,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct deepseek-v3.2,DeepSeek-V3.2,DeepSeek,gpqa_main,GPQA Main (full set),Science,,82.4,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking (DeepSeek-Reasoner endpoint)""}","llm-stats.com row: model=DeepSeek-V3.2 (Thinking), slug=deepseek-reasoner, provider=DeepSeek" deepseek-v3.2,DeepSeek-V3.2,DeepSeek,healthbench,HealthBench,Knowledge,%,46.9,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: deepseek-v3.2=46.9. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hle,HLE (Humanity's Last Exam),Reasoning,% correct,25.1,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: deepseek-v3.2=25.1. -deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hle_text,HLE Text,Search Agent,%,40.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek V3.2 tech report: temperature=1.0, context=128K, thinking mode for tool-use."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-V3.2, slug=deepseek-v3.2, provider=DeepSeek" +deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hle_text,HLE Text,Reasoning,%,40.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek V3.2 tech report: temperature=1.0, context=128K, thinking mode for tool-use."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=DeepSeek-V3.2, slug=deepseek-v3.2, provider=DeepSeek" deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),40.8,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,False,"""text-only subset, with tools, pass@1""",†: DeepSeek V3.2 HLE (w/tools) score corresponds to text-only subset (vision not supported). Reported in Kimi K2.5 HF model card. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hmmt_feb_2025,HMMT Feb 2025,Math,%,92.5,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: deepseek-v3.2=92.5. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),79.9,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: deepseek-v3.2=79.9. @@ -594,10 +594,10 @@ deepseek-v3.2,DeepSeek-V3.2,DeepSeek,livecodebench,LiveCodeBench,Coding,pass@1 % deepseek-v3.2,DeepSeek-V3.2,DeepSeek,longbench_v2,LongBench-V2,Long Context,%,59.8,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: deepseek-v3.2=59.8. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,matharena_apex_2025,MathArena Apex 2025,Math,% correct,2.08,https://matharena.ai/?comp=apex--apex_2025,leaderboard,verified,True,"""thinking:default""", deepseek-v3.2,DeepSeek-V3.2,DeepSeek,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),62.2,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5.1 blog: deepseek-v3.2=62.2. -deepseek-v3.2,DeepSeek-V3.2,DeepSeek,mcpmark,MCPMark,Agentic,,38.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: DeepSeek-V3.2-Thinking=38.0. DS uses internal MCP environment (not official MCP-Mark setting). +deepseek-v3.2,DeepSeek-V3.2,DeepSeek,mcpmark,MCPMark,Agentic,% success (pass@1),38.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: DeepSeek-V3.2-Thinking=38.0. DS uses internal MCP environment (not official MCP-Mark setting). deepseek-v3.2,DeepSeek-V3.2,DeepSeek,mmlu_pro,MMLU-Pro,Knowledge,% correct,85.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: deepseek-v3.2=85.0. -deepseek-v3.2,DeepSeek-V3.2,DeepSeek,multi_swe_bench,Multi-SWE-bench,Coding,,30.6,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: deepseek-v3.2=30.6. -deepseek-v3.2,DeepSeek-V3.2,DeepSeek,ojbench,OJBench,Coding,,54.7,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: deepseek-v3.2=54.7. +deepseek-v3.2,DeepSeek-V3.2,DeepSeek,multi_swe_bench,Multi-SWE-bench,Coding,%,30.6,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: deepseek-v3.2=30.6. +deepseek-v3.2,DeepSeek-V3.2,DeepSeek,ojbench,OJBench,Coding,%,54.7,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: deepseek-v3.2=54.7. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,scicode,SciCode,Coding,% correct,38.9,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: deepseek-v3.2=38.9. deepseek-v3.2,DeepSeek-V3.2,DeepSeek,smt_2025,SMT 2025,Math,% correct (pass@1),87.74,https://matharena.ai/?comp=smt--smt_2025,leaderboard,verified,True,"""thinking:default""", deepseek-v3.2,DeepSeek-V3.2,DeepSeek,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,70.2,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic (bash + edit)""}",DeepSeek V3.2 tech report Table 2: deepseek-v3.2=70.2. @@ -619,7 +619,7 @@ deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,gdpval_aa_elo,GDPval (Artificial An deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,88.1,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 88.1. deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,gpqa_main,GPQA Main (full set),Science,,88.1,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,hle,HLE (Humanity's Last Exam),Reasoning,% correct,34.8,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 34.8. -deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,hle_text,HLE Text,Search Agent,%,45.1,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" +deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,hle_text,HLE Text,Reasoning,%,45.1,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Flash-Max, slug=deepseek-v4-flash-max, provider=DeepSeek" deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),94.8,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 94.8. deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,imo_answerbench,IMO-AnswerBench,Math,,88.4,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 88.4. deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,livecodebench,LiveCodeBench,Coding,pass@1 %,91.6,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-flash (Max mode) = 91.6. @@ -641,7 +641,7 @@ deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,gdpval_aa_elo,GDPval (Artificial Analys deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,gpqa_diamond,GPQA Diamond,Science,% correct,90.1,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 90.1. deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,gpqa_main,GPQA Main (full set),Science,,90.1,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,hle,HLE (Humanity's Last Exam),Reasoning,% correct,37.7,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 37.7. -deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,hle_text,HLE Text,Search Agent,%,48.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" +deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,hle_text,HLE Text,Reasoning,%,48.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""max""}","llm-stats.com row: model=DeepSeek-V4-Pro-Max, slug=deepseek-v4-pro-max, provider=DeepSeek" deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),95.2,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 95.2. deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,imo_answerbench,IMO-AnswerBench,Math,,89.8,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 89.8. deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,livecodebench,LiveCodeBench,Coding,pass@1 %,93.5,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4 model card: deepseek-v4-pro (Max mode) = 93.5. @@ -662,25 +662,25 @@ doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,aime_2026,AIME 2026,Math,% cor doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,arc_agi_1,ARC-AGI-1,Reasoning,% correct,85.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=85.4. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,arc_agi_2,ARC-AGI-2,Reasoning,% correct,37.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=37.5. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,artifactsbench,ArtifactsBench,Coding,%,66.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=66.6. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,babyvision,BabyVision,Multimodal,,60.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=60.6. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,babyvision,BabyVision,Multimodal,% accuracy,60.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=60.6. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,beyond_aime,Beyond AIME,Math,%,86.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=86.5. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,browsecomp,BrowseComp,Agentic,% correct,77.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=77.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,browsecomp_zh,BrowseComp-ZH,Agentic search,,82.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=82.4. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,charxiv_descriptive,CharXiv Descriptive,Vision,%,93.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=93.5. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),80.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=80.5. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,93.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=93.5. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,80.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=80.5. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,codeforces_rating,Codeforces Rating,Coding,Elo rating,3020.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=3020. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,collie,COLLIE,Instruction Following,%,93.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=93.9. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,deepsearchqa_acc,DeepSearchQA (Accuracy),Search Agent,%,77.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=77.4. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,erqa,ERQA,Vision,%,68.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=68.5. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,factscore,FActScore (hallucination rate),Hallucination,%,71.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=71.2. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,frames,Frames,Agentic search,,84.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=84.5. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,frames,Frames,Agentic search,%,84.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=84.5. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,global_piqa,Global PIQA,Reasoning,,92.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=92.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,gpqa_diamond,GPQA Diamond,Science,% correct,88.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=88.9. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,68.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=68.9. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,97.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=97.6. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,healthbench,HealthBench,Knowledge,%,57.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=57.7. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,hle,HLE (Humanity's Last Exam),Reasoning,% correct,32.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=32.4. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,hle_text,HLE Text,Search Agent,%,54.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=54.2. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,hle_text,HLE Text,Reasoning,%,54.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=54.2. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,hmmt_feb_2025,HMMT Feb 2025,Math,%,97.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=97.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,93.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=93.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,imo_answerbench,IMO-AnswerBench,Math,,89.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=89.3. @@ -691,13 +691,13 @@ doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,longfact_objects,LongFact-Obje doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,matharena_apex_2025,MathArena Apex 2025,Math,% correct,20.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=20.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mathvision,MathVision,Math,% correct,88.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=88.8. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mathvista,MathVista,Math/Vision,%,89.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=89.8. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mcpmark,MCPMark,Agentic,,54.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=54.7. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mcpmark,MCPMark,Agentic,% success (pass@1),54.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=54.7. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=87.0. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mmmlu,MMMLU,Knowledge,% correct,88.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=88.1. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mmmu,MMMU,Multimodal,% correct,85.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=85.4. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mmmu_pro,MMMU-Pro,Multimodal,% correct,78.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=78.2. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,54.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=54.0. -doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,multi_swe_bench,Multi-SWE-bench,Coding,,45.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=45.2. +doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,multi_swe_bench,Multi-SWE-bench,Coding,%,45.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=45.2. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,multichallenge,MultiChallenge,Instruction Following,%,68.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: doubao-seed-2.0-pro=68.3. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,nl2repo_bench,NL2Repo-Bench,Repository Code,%,27.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=27.9. doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.099,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: doubao-seed-2.0-pro=0.099. @@ -725,7 +725,7 @@ gemini-1.5-flash,Gemini 1.5 Flash,Google,humaneval,HumanEval,Coding,pass@1 %,74. gemini-1.5-flash,Gemini 1.5 Flash,Google,livecodebench,LiveCodeBench,Coding,pass@1 %,30.7,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): LiveCodeBench v5 (UI 10/01/2024-02/01/2025) 30.7% gemini-1.5-flash,Gemini 1.5 Flash,Google,math,MATH,Math,,77.9,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MATH (full) 77.9% gemini-1.5-flash,Gemini 1.5 Flash,Google,mathvista,MathVista,Math/Vision,%,65.8,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Flash, slug=gemini-1.5-flash, provider=Google" -gemini-1.5-flash,Gemini 1.5 Flash,Google,mgsm,MGSM,Math,%,82.6,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Flash, slug=gemini-1.5-flash, provider=Google" +gemini-1.5-flash,Gemini 1.5 Flash,Google,mgsm,MGSM,Math,exact match (%),82.6,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Flash, slug=gemini-1.5-flash, provider=Google" gemini-1.5-flash,Gemini 1.5 Flash,Google,mmlu_pro,MMLU-Pro,Knowledge,% correct,67.3,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MMLU-Pro 67.3% gemini-1.5-flash,Gemini 1.5 Flash,Google,mmmu,MMMU,Multimodal,% correct,62.3,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MMMU 62.3% gemini-1.5-flash,Gemini 1.5 Flash,Google,mrcr_v1,MRCR v1,Long-context,,71.9,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 71.9% @@ -744,7 +744,7 @@ gemini-1.5-pro,Gemini 1.5 Pro,Google,humaneval,HumanEval,Coding,pass@1 %,84.1,ht gemini-1.5-pro,Gemini 1.5 Pro,Google,livecodebench,LiveCodeBench,Coding,pass@1 %,34.2,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): LiveCodeBench v5 (UI 10/01/2024-02/01/2025) 34.2% gemini-1.5-pro,Gemini 1.5 Pro,Google,math,MATH,Math,,86.5,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MATH (full) 86.5% gemini-1.5-pro,Gemini 1.5 Pro,Google,mathvista,MathVista,Math/Vision,%,68.1,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Pro, slug=gemini-1.5-pro, provider=Google" -gemini-1.5-pro,Gemini 1.5 Pro,Google,mgsm,MGSM,Math,%,87.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Pro, slug=gemini-1.5-pro, provider=Google" +gemini-1.5-pro,Gemini 1.5 Pro,Google,mgsm,MGSM,Math,exact match (%),87.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 1.5 Pro, slug=gemini-1.5-pro, provider=Google" gemini-1.5-pro,Gemini 1.5 Pro,Google,mmlu_pro,MMLU-Pro,Knowledge,% correct,75.8,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MMLU-Pro 75.8% gemini-1.5-pro,Gemini 1.5 Pro,Google,mmmu,MMMU,Multimodal,% correct,65.9,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MMMU 65.9% gemini-1.5-pro,Gemini 1.5 Pro,Google,mrcr_v1,MRCR v1,Long-context,,82.6,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 82.6% @@ -763,7 +763,7 @@ gemini-2.0-flash,Gemini 2.0 Flash,Google,math,MATH,Math,,90.9,https://storage.go gemini-2.0-flash,Gemini 2.0 Flash,Google,mmlu_pro,MMLU-Pro,Knowledge,% correct,77.6,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Gemini 2.0 Flash Model Card (April 15 2025): MMLU-Pro 77.6% [Promoted to verified per R5d, prior unverified value 76.4 from https://www.helicone.ai/blog/gemini-2.0-flash deleted.]" gemini-2.0-flash,Gemini 2.0 Flash,Google,mmmu,MMMU,Multimodal,% correct,71.7,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Gemini 2.0 Flash Model Card (April 15 2025): MMMU 71.7% [Promoted to verified per R5d, prior unverified value 70.7 from https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/ deleted.]" gemini-2.0-flash,Gemini 2.0 Flash,Google,mrcr_v1,MRCR v1,Long-context,,70.5,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.0 Flash Model Card (April 15 2025): MRCR v1 1M 70.5% -gemini-2.0-flash,Gemini 2.0 Flash,Google,mt_aime_2024,MT-AIME2024,Math,,73.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""thinking""}","llm-stats.com row: model=Gemini 2.0 Flash Thinking, slug=gemini-2.0-flash-thinking, provider=Google" +gemini-2.0-flash,Gemini 2.0 Flash,Google,mt_aime_2024,MT-AIME2024,Math,%,73.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""thinking""}","llm-stats.com row: model=Gemini 2.0 Flash Thinking, slug=gemini-2.0-flash-thinking, provider=Google" gemini-2.0-flash,Gemini 2.0 Flash,Google,simpleqa,SimpleQA,Knowledge,% correct,29.9,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-0-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Gemini 2.0 Flash Model Card (April 15 2025): SimpleQA (no search) 29.9% [Promoted to verified per R5d, prior unverified value 27.0 from https://www.helicone.ai/blog/gemini-2.0-flash deleted.]" gemini-2.0-flash,Gemini 2.0 Flash,Google,vibe_eval,Vibe-Eval,Multimodal,,56.3,https://llm-stats.com/benchmarks/vibe-eval,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.0 Flash, slug=gemini-2.0-flash, provider=Google" gemini-2.5-flash,Gemini 2.5 Flash,Google,aider_polyglot_diff,Aider Polyglot (diff mode),Coding,%,61.9,https://llm-stats.com/benchmarks/aider-polyglot,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" @@ -774,7 +774,7 @@ gemini-2.5-flash,Gemini 2.5 Flash,Google,arc_agi_2,ARC-AGI-2,Reasoning,% correct gemini-2.5-flash,Gemini 2.5 Flash,Google,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,83.9,https://github.com/lmarena/arena-hard-auto,leaderboard,verified,True,"""Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge""", gemini-2.5-flash,Gemini 2.5 Flash,Google,brumo_2025,BRUMO 2025,Math,% correct (pass@1),83.33,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""thinking:default""", gemini-2.5-flash,Gemini 2.5 Flash,Google,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,14.55,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=default""", -gemini-2.5-flash,Gemini 2.5 Flash,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),63.7,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 63.7% +gemini-2.5-flash,Gemini 2.5 Flash,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,63.7,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 63.7% gemini-2.5-flash,Gemini 2.5 Flash,Google,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),51.88,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""thinking:default""", gemini-2.5-flash,Gemini 2.5 Flash,Google,codeforces_rating,Codeforces Rating,Coding,Elo rating,1995.0,https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507,model_card,verified,True,, gemini-2.5-flash,Gemini 2.5 Flash,Google,critpt,CritPt,Science,% correct,1.1,https://github.com/CritPt-Benchmark/CritPt,leaderboard,verified,True,"""CritPt leaderboard, ε=1.5, % tasks solved""", @@ -783,7 +783,7 @@ gemini-2.5-flash,Gemini 2.5 Flash,Google,global_piqa,Global PIQA,Reasoning,,90.2 gemini-2.5-flash,Gemini 2.5 Flash,Google,gpqa_diamond,GPQA Diamond,Science,% correct,82.8,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 82.8% [Promoted to verified, prior unverified value deleted per R5d.]" gemini-2.5-flash,Gemini 2.5 Flash,Google,gpqa_main,GPQA Main (full set),Science,,82.8,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" gemini-2.5-flash,Gemini 2.5 Flash,Google,hle,HLE (Humanity's Last Exam),Reasoning,% correct,11.0,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: HLE no tools 11.0% (Gemini 2.5 Flash Thinking) [Promoted to verified, prior unverified value deleted per R5d.]" -gemini-2.5-flash,Gemini 2.5 Flash,Google,hle_text,HLE Text,Search Agent,%,11.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" +gemini-2.5-flash,Gemini 2.5 Flash,Google,hle_text,HLE Text,Reasoning,%,11.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" gemini-2.5-flash,Gemini 2.5 Flash,Google,hmmt_feb_2025,HMMT Feb 2025,Math,%,64.2,https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507,model_card,verified,True,, gemini-2.5-flash,Gemini 2.5 Flash,Google,ifeval,IFEval,Instruction Following,% correct (prompt strict),84.3,https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507,model_card,verified,True,, gemini-2.5-flash,Gemini 2.5 Flash,Google,livebench,LiveBench,Composite,overall score,46.9,https://livebench.ai/,leaderboard,verified,False,"{""effort"": ""default"", ""mode"": ""thinking"", ""tools"": ""n/a""}",livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-2.5-flash-06-05-highthinking avg=46.9. Canonical requires Dec 2025 GA version; livebench has Jun 2025 preview (46.9) and Sep 2025 preview (52.3). Used Jun 2025 as closest to model release. BP had 47.7. See review. @@ -795,7 +795,7 @@ gemini-2.5-flash,Gemini 2.5 Flash,Google,mmmu,MMMU,Multimodal,% correct,79.7,htt gemini-2.5-flash,Gemini 2.5 Flash,Google,mmmu_pro,MMMU-Pro,Multimodal,% correct,66.7,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: MMMU-Pro 66.7% gemini-2.5-flash,Gemini 2.5 Flash,Google,mrcr_v1,MRCR v1,Long-context,,74.0,https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Flash-Model-Card.pdf,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column: MRCR (v1) 128k average 74 gemini-2.5-flash,Gemini 2.5 Flash,Google,mrcr_v2,MRCR v2,Long Context,% correct,54.3,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 54.3% -gemini-2.5-flash,Gemini 2.5 Flash,Google,mt_aime_2024,MT-AIME2024,Math,,88.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" +gemini-2.5-flash,Gemini 2.5 Flash,Google,mt_aime_2024,MT-AIME2024,Math,%,88.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Gemini 2.5 Flash, slug=gemini-2.5-flash, provider=Google" gemini-2.5-flash,Gemini 2.5 Flash,Google,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.154,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 edit distance 0.154 gemini-2.5-flash,Gemini 2.5 Flash,Google,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.154,,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 overall edit distance 0.154 gemini-2.5-flash,Gemini 2.5 Flash,Google,screenspot_pro,ScreenSpot-Pro,Multimodal,,3.9,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: ScreenSpot-Pro 3.9% @@ -824,7 +824,7 @@ gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,browsecomp,BrowseComp,Agentic,% correc gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,browsecomp_zh,BrowseComp-ZH,Agentic search,,32.2,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",MiniMax M2 model card: gemini-2.5-pro=32.2. gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,brumo_2025,BRUMO 2025,Math,% correct (pass@1),90.0,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""thinking:default""", gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,23.64,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=default""", -gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),69.6,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 69.6% +gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,69.6,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 69.6% gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1448.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-2.5-pro (rank 42). ELO updates continuously; score reflects latest available. gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),58.13,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""thinking:default""", gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,codeforces_rating,Codeforces Rating,Coding,Elo rating,2001.0,https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507,model_card,verified,True,, @@ -838,7 +838,7 @@ gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,global_piqa,Global PIQA,Reasoning,,91. gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,gpqa_diamond,GPQA Diamond,Science,% correct,86.4,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: GPQA Diamond 86.4% [Promoted to verified, prior unverified value deleted per R5d.]" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,gpqa_main,GPQA Main (full set),Science,,86.4,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro Preview 06-05, slug=gemini-2.5-pro-preview-06-05, provider=Google" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,hle,HLE (Humanity's Last Exam),Reasoning,% correct,21.6,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: HLE no tools 21.6% (Gemini 2.5 Pro Thinking) [Promoted to verified, prior unverified value deleted per R5d.]" -gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,hle_text,HLE Text,Search Agent,%,21.6,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro Preview 06-05, slug=gemini-2.5-pro-preview-06-05, provider=Google" +gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,hle_text,HLE Text,Reasoning,%,21.6,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro Preview 06-05, slug=gemini-2.5-pro-preview-06-05, provider=Google" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,hmmt_feb_2025,HMMT Feb 2025,Math,%,82.5,https://arxiv.org/abs/2504.21318,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4-reasoning paper Table 1 (gemini-2.5-pro column): hmmt_2025=82.5 (re-sourced from https://arxiv.org/abs/2504.21318, matches BP value)" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,80.0,https://matharena.ai/?comp=hmmt--hmmt_nov_2025,leaderboard,verified,True,"""thinking:default""", gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,ifbench,IFBench,Instruction Following,% correct,49.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: gemini-2.5-pro=49. @@ -853,7 +853,7 @@ gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mmmu_pro,MMMU-Pro,Multimodal,% correct gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mrcr_v1,MRCR v1,Long-context,,93.0,https://llm-stats.com/benchmarks/mrcr,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro, slug=gemini-2.5-pro, provider=Google" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mrcr_v2,MRCR v2,Long Context,% correct,58.0,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","DeepMind /models/gemini/flash/ Performance table: MRCR v2 8-needle 128k 58.0% [Promoted to verified, prior unverified value deleted per R5d.]" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,16.4,https://llm-stats.com/benchmarks/mrcr-v2-(8-needle),third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro Preview 06-05, slug=gemini-2.5-pro-preview-06-05, provider=Google" -gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mt_aime_2024,MT-AIME2024,Math,,92.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro, slug=gemini-2.5-pro, provider=Google" +gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,mt_aime_2024,MT-AIME2024,Math,%,92.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 2.5 Pro, slug=gemini-2.5-pro, provider=Google" gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.145,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 edit distance 0.145 gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.145,,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 overall edit distance 0.145 gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,scicode,SciCode,Coding,% correct,43.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: gemini-2.5-pro=43. @@ -878,7 +878,7 @@ gemini-3-flash,Gemini 3 Flash,Google,aime_2025,AIME 2025,Math,% correct (pass@1) gemini-3-flash,Gemini 3 Flash,Google,arc_agi_1,ARC-AGI-1,Reasoning,% correct,84.7,https://arcprize.org/leaderboard,leaderboard,verified,False,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: Gemini 3 Flash Preview (High) on leaderboard; canonical is default gemini-3-flash,Gemini 3 Flash,Google,arc_agi_2,ARC-AGI-2,Reasoning,% correct,33.6,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: ARC-AGI-2 ARC Prize Verified 33.6% gemini-3-flash,Gemini 3 Flash,Google,brumo_2025,BRUMO 2025,Math,% correct (pass@1),100.0,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""thinking:default""", -gemini-3-flash,Gemini 3 Flash,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),80.3,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning no tools 80.3% +gemini-3-flash,Gemini 3 Flash,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,80.3,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning no tools 80.3% gemini-3-flash,Gemini 3 Flash,Google,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1473.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-3-flash (rank 15). ELO updates continuously; score reflects latest available. gemini-3-flash,Gemini 3 Flash,Google,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),90.62,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""thinking:default""", gemini-3-flash,Gemini 3 Flash,Google,facts_grounding,FACTS Grounding,Factuality,,61.9,https://llm-stats.com/benchmarks/facts-grounding,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3 Flash, slug=gemini-3-flash-preview, provider=Google" @@ -887,7 +887,7 @@ gemini-3-flash,Gemini 3 Flash,Google,global_piqa,Global PIQA,Reasoning,,92.8,htt gemini-3-flash,Gemini 3 Flash,Google,gpqa_diamond,GPQA Diamond,Science,% correct,90.4,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: GPQA Diamond no tools 90.4% gemini-3-flash,Gemini 3 Flash,Google,gpqa_main,GPQA Main (full set),Science,,90.4,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3 Flash, slug=gemini-3-flash-preview, provider=Google" gemini-3-flash,Gemini 3 Flash,Google,hle,HLE (Humanity's Last Exam),Reasoning,% correct,33.7,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: HLE no tools 33.7% -gemini-3-flash,Gemini 3 Flash,Google,hle_text,HLE Text,Search Agent,%,43.5,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3 Flash, slug=gemini-3-flash-preview, provider=Google" +gemini-3-flash,Gemini 3 Flash,Google,hle_text,HLE Text,Reasoning,%,43.5,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3 Flash, slug=gemini-3-flash-preview, provider=Google" gemini-3-flash,Gemini 3 Flash,Google,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,93.33,https://matharena.ai/?comp=hmmt--hmmt_nov_2025,leaderboard,verified,True,"""thinking:default""", gemini-3-flash,Gemini 3 Flash,Google,livebench,LiveBench,Composite,overall score,73.0,https://livebench.ai/,leaderboard,verified,True,"{""effort"": ""high"", ""mode"": ""thinking"", ""tools"": ""n/a""}",livebench.ai table_2026_01_08 (latest as of 2026-04-28): gemini-3-flash-preview-high avg=73.0. Canonical thinking mode matches (high = default thinking for Gemini 3 Flash per canonical notes). BP had 72.4. gemini-3-flash,Gemini 3 Flash,Google,livecodebench,LiveCodeBench,Coding,pass@1 %,90.8,https://artificialanalysis.ai/evaluations/livecodebench,third_party,verified,,"{""effort"": ""default"", ""harness"": ""AA standard evaluation"", ""mode"": ""thinking"", ""notes"": ""AA slug: gemini-3-flash-reasoning; livecodebench=90.8%"", ""sampling"": ""pass@1""}",ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA LiveCodeBench eval page: gemini-3-flash-reasoning livecodebench=0.908 → 90.8%. AA slug: gemini-3-flash-reasoning (reasoning/thinking variant). @@ -915,13 +915,13 @@ gemini-3-pro,Gemini 3 Pro,Google,aime_2026,AIME 2026,Math,% correct (pass@1),90. gemini-3-pro,Gemini 3 Pro,Google,arc_agi_1,ARC-AGI-1,Reasoning,% correct,85.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=85.0. gemini-3-pro,Gemini 3 Pro,Google,arc_agi_2,ARC-AGI-2,Reasoning,% correct,31.1,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: ARC-AGI-2 ARC Prize Verified 31.1% gemini-3-pro,Gemini 3 Pro,Google,artifactsbench,ArtifactsBench,Coding,%,58.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=58.4. -gemini-3-pro,Gemini 3 Pro,Google,babyvision,BabyVision,Multimodal,,49.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=49.7. +gemini-3-pro,Gemini 3 Pro,Google,babyvision,BabyVision,Multimodal,% accuracy,49.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=49.7. gemini-3-pro,Gemini 3 Pro,Google,beyond_aime,Beyond AIME,Math,%,83.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=83.0. gemini-3-pro,Gemini 3 Pro,Google,browsecomp,BrowseComp,Agentic,% correct,59.2,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""web+code""}",DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): BrowseComp Search+Python+Browse 59.2% (was 85.9 from vellum.ai which mislabeled 3.1 Pro number; demoted to candidate) gemini-3-pro,Gemini 3 Pro,Google,browsecomp_zh,BrowseComp-ZH,Agentic search,,66.8,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5 blog: gemini-3-pro=66.8. gemini-3-pro,Gemini 3 Pro,Google,brumo_2025,BRUMO 2025,Math,% correct (pass@1),98.33,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""thinking:high""", -gemini-3-pro,Gemini 3 Pro,Google,charxiv_descriptive,CharXiv Descriptive,Vision,%,94.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=94.4. -gemini-3-pro,Gemini 3 Pro,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),81.4,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 81.4% +gemini-3-pro,Gemini 3 Pro,Google,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,94.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=94.4. +gemini-3-pro,Gemini 3 Pro,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,81.4,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: CharXiv Reasoning 81.4% gemini-3-pro,Gemini 3 Pro,Google,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),90.0,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""thinking:high""", gemini-3-pro,Gemini 3 Pro,Google,codeforces_rating,Codeforces Rating,Coding,Elo rating,2708.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gemini-3-pro=2708. gemini-3-pro,Gemini 3 Pro,Google,collie,COLLIE,Instruction Following,%,95.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=95.0. @@ -931,7 +931,7 @@ gemini-3-pro,Gemini 3 Pro,Google,deepsearchqa_acc,DeepSearchQA (Accuracy),Search gemini-3-pro,Gemini 3 Pro,Google,erqa,ERQA,Vision,%,70.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=70.5. gemini-3-pro,Gemini 3 Pro,Google,facts_grounding,FACTS Grounding,Factuality,,70.5,https://llm-stats.com/benchmarks/facts-grounding,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3 Pro, slug=gemini-3-pro-preview, provider=Google" gemini-3-pro,Gemini 3 Pro,Google,factscore,FActScore (hallucination rate),Hallucination,%,92.6,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=92.6. -gemini-3-pro,Gemini 3 Pro,Google,frames,Frames,Agentic search,,81.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=81.9. +gemini-3-pro,Gemini 3 Pro,Google,frames,Frames,Agentic search,%,81.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=81.9. gemini-3-pro,Gemini 3 Pro,Google,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1195.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: GDPval-AA Elo 1195 gemini-3-pro,Gemini 3 Pro,Google,global_piqa,Global PIQA,Reasoning,,93.4,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: Global PIQA 93.4% gemini-3-pro,Gemini 3 Pro,Google,gpqa_diamond,GPQA Diamond,Science,% correct,91.9,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: GPQA Diamond no tools 91.9% @@ -940,7 +940,7 @@ gemini-3-pro,Gemini 3 Pro,Google,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Lo gemini-3-pro,Gemini 3 Pro,Google,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,99.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=99.7. gemini-3-pro,Gemini 3 Pro,Google,healthbench,HealthBench,Knowledge,%,37.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=37.9. gemini-3-pro,Gemini 3 Pro,Google,hle,HLE (Humanity's Last Exam),Reasoning,% correct,37.5,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: HLE no tools 37.5% -gemini-3-pro,Gemini 3 Pro,Google,hle_text,HLE Text,Search Agent,%,46.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=46.9. +gemini-3-pro,Gemini 3 Pro,Google,hle_text,HLE Text,Reasoning,%,46.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=46.9. gemini-3-pro,Gemini 3 Pro,Google,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),45.8,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,False,"""with tools, pass@1""",Reported in Kimi K2.5 HF model card (no asterisk = publicly available official score). Reference is Kimi card. gemini-3-pro,Gemini 3 Pro,Google,hmmt_feb_2025,HMMT Feb 2025,Math,%,97.5,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gemini-3-pro=97.5. gemini-3-pro,Gemini 3 Pro,Google,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,93.3,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gemini-3-pro=93.3. @@ -956,17 +956,17 @@ gemini-3-pro,Gemini 3 Pro,Google,matharena_apex_2025,MathArena Apex 2025,Math,% gemini-3-pro,Gemini 3 Pro,Google,mathvision,MathVision,Math,% correct,86.1,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gemini-3-pro=86.1. gemini-3-pro,Gemini 3 Pro,Google,mathvista,MathVista,Math/Vision,%,89.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gemini-3-pro=89.8. gemini-3-pro,Gemini 3 Pro,Google,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),54.1,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MCP Atlas 54.1% -gemini-3-pro,Gemini 3 Pro,Google,mcpmark,MCPMark,Agentic,,53.9,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 53.9 (3rd-party Qwen self-test)." +gemini-3-pro,Gemini 3 Pro,Google,mcpmark,MCPMark,Agentic,% success (pass@1),53.9,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 53.9 (3rd-party Qwen self-test)." gemini-3-pro,Gemini 3 Pro,Google,mmlu_pro,MMLU-Pro,Knowledge,% correct,90.1,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gemini-3-pro=90.1. gemini-3-pro,Gemini 3 Pro,Google,mmmlu,MMMLU,Knowledge,% correct,91.8,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): MMMLU 91.8% (was 92.0 from Anthropic Sonnet 4.6 blog; demoted to candidate) gemini-3-pro,Gemini 3 Pro,Google,mmmu,MMMU,Multimodal,% correct,87.2,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 87.2 (3rd-party Qwen self-test). [R5d: prior unverified value 87.51 from https://www.vellum.ai/blog/google-gemini-3-benchmarks deleted.]" gemini-3-pro,Gemini 3 Pro,Google,mmmu_pro,MMMU-Pro,Multimodal,% correct,81.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MMMU-Pro no tools 81.0% gemini-3-pro,Gemini 3 Pro,Google,mrcr_v2,MRCR v2,Long Context,% correct,77.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MRCR v2 8-needle 128k average 77.0% gemini-3-pro,Gemini 3 Pro,Google,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,79.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gemini-3-pro=79.7. -gemini-3-pro,Gemini 3 Pro,Google,multi_swe_bench,Multi-SWE-bench,Coding,,50.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=50.2. +gemini-3-pro,Gemini 3 Pro,Google,multi_swe_bench,Multi-SWE-bench,Coding,%,50.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=50.2. gemini-3-pro,Gemini 3 Pro,Google,multichallenge,MultiChallenge,Instruction Following,%,64.2,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 64.2 (3rd-party Qwen self-test)." gemini-3-pro,Gemini 3 Pro,Google,nl2repo_bench,NL2Repo-Bench,Repository Code,%,34.2,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gemini-3-pro=34.2. -gemini-3-pro,Gemini 3 Pro,Google,ojbench,OJBench,Coding,,68.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gemini-3-pro=68.5. +gemini-3-pro,Gemini 3 Pro,Google,ojbench,OJBench,Coding,%,68.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gemini-3-pro=68.5. gemini-3-pro,Gemini 3 Pro,Google,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.115,https://deepmind.google/models/gemini/flash/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/flash/ Performance table: OmniDocBench 1.5 edit distance 0.115 gemini-3-pro,Gemini 3 Pro,Google,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.115,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gemini-3-pro=88.5. [Converted 88.5% (1-LED higher-better) → 0.115 (edit distance lower-better) for cross-source consistency] gemini-3-pro,Gemini 3 Pro,Google,scicode,SciCode,Coding,% correct,56.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: SciCode 56% (rounded; existing 56.1 within rounding) @@ -992,9 +992,9 @@ gemini-3.1-pro,Gemini 3.1 Pro,Google,aa_intelligence_index,AA Intelligence Index gemini-3.1-pro,Gemini 3.1 Pro,Google,aime_2026,AIME 2026,Math,% correct (pass@1),98.2,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: gemini-3.1-pro=98.2. gemini-3.1-pro,Gemini 3.1 Pro,Google,arc_agi_1,ARC-AGI-1,Reasoning,% correct,98.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""default"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}","arcprize.org leaderboard audit: Gemini 3.1 Pro (Preview, 2026-02-19) on leaderboard" gemini-3.1-pro,Gemini 3.1 Pro,Google,arc_agi_2,ARC-AGI-2,Reasoning,% correct,77.1,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: ARC-AGI-2 ARC Prize Verified 77.1% -gemini-3.1-pro,Gemini 3.1 Pro,Google,babyvision,BabyVision,Multimodal,,51.6,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=51.6. +gemini-3.1-pro,Gemini 3.1 Pro,Google,babyvision,BabyVision,Multimodal,% accuracy,51.6,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=51.6. gemini-3.1-pro,Gemini 3.1 Pro,Google,browsecomp,BrowseComp,Agentic,% correct,85.9,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""web+code""}",DeepMind /models/gemini/pro/ Performance table: BrowseComp Search+Python+Browse 85.9% -gemini-3.1-pro,Gemini 3.1 Pro,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),80.2,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=80.2. +gemini-3.1-pro,Gemini 3.1 Pro,Google,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,80.2,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=80.2. gemini-3.1-pro,Gemini 3.1 Pro,Google,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1493.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: gemini-3.1-pro-preview (rank 5). ELO updates continuously; score reflects latest available. gemini-3.1-pro,Gemini 3.1 Pro,Google,chinese_simpleqa,Chinese-SimpleQA,Knowledge,%,85.9,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 85.9. gemini-3.1-pro,Gemini 3.1 Pro,Google,codeforces_rating,Codeforces Rating,Coding,Elo rating,3052.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 3052. @@ -1008,7 +1008,7 @@ gemini-3.1-pro,Gemini 3.1 Pro,Google,gdpval_aa_elo,GDPval (Artificial Analysis E gemini-3.1-pro,Gemini 3.1 Pro,Google,gpqa_diamond,GPQA Diamond,Science,% correct,94.3,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: GPQA Diamond no tools 94.3% gemini-3.1-pro,Gemini 3.1 Pro,Google,gpqa_main,GPQA Main (full set),Science,,94.3,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3.1 Pro, slug=gemini-3.1-pro-preview, provider=Google" gemini-3.1-pro,Gemini 3.1 Pro,Google,hle,HLE (Humanity's Last Exam),Reasoning,% correct,44.4,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: HLE no tools 44.4% -gemini-3.1-pro,Gemini 3.1 Pro,Google,hle_text,HLE Text,Search Agent,%,51.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3.1 Pro, slug=gemini-3.1-pro-preview, provider=Google" +gemini-3.1-pro,Gemini 3.1 Pro,Google,hle_text,HLE Text,Reasoning,%,51.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3.1 Pro, slug=gemini-3.1-pro-preview, provider=Google" gemini-3.1-pro,Gemini 3.1 Pro,Google,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),94.7,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 94.7. gemini-3.1-pro,Gemini 3.1 Pro,Google,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,94.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: gemini-3.1-pro=94.8. gemini-3.1-pro,Gemini 3.1 Pro,Google,imo_answerbench,IMO-AnswerBench,Math,,81.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 81.0. @@ -1016,7 +1016,7 @@ gemini-3.1-pro,Gemini 3.1 Pro,Google,livecodebench,LiveCodeBench,Coding,pass@1 % gemini-3.1-pro,Gemini 3.1 Pro,Google,matharena_apex_2025,MathArena Apex 2025,Math,% correct,60.9,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 60.9. gemini-3.1-pro,Gemini 3.1 Pro,Google,mathvision,MathVision,Math,% correct,89.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=89.8. gemini-3.1-pro,Gemini 3.1 Pro,Google,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),69.2,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table (PROMOTED over prior third-party): MCP Atlas 69.2% (was 78.2 from OpenAI gpt-5.5 blog third-party; demoted to candidate) -gemini-3.1-pro,Gemini 3.1 Pro,Google,mcpmark,MCPMark,Agentic,,55.9,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: gemini-3.1-pro=55.9. +gemini-3.1-pro,Gemini 3.1 Pro,Google,mcpmark,MCPMark,Agentic,% success (pass@1),55.9,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: gemini-3.1-pro=55.9. gemini-3.1-pro,Gemini 3.1 Pro,Google,mmlu_pro,MMLU-Pro,Knowledge,% correct,91.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 91.0. gemini-3.1-pro,Gemini 3.1 Pro,Google,mmmlu,MMMLU,Knowledge,% correct,92.6,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MMMLU 92.6% gemini-3.1-pro,Gemini 3.1 Pro,Google,mmmu_pro,MMMU-Pro,Multimodal,% correct,80.5,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MMMU-Pro no tools 80.5% @@ -1024,7 +1024,7 @@ gemini-3.1-pro,Gemini 3.1 Pro,Google,mrcr_v1,MRCR v1,Long-context,,76.3,https:// gemini-3.1-pro,Gemini 3.1 Pro,Google,mrcr_v2,MRCR v2,Long Context,% correct,84.9,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: MRCR v2 8-needle 128k average 84.9% gemini-3.1-pro,Gemini 3.1 Pro,Google,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,26.3,https://llm-stats.com/benchmarks/mrcr-v2-(8-needle),third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Gemini 3.1 Pro, slug=gemini-3.1-pro-preview, provider=Google" gemini-3.1-pro,Gemini 3.1 Pro,Google,nl2repo_bench,NL2Repo-Bench,Repository Code,%,33.4,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-5.1 blog: gemini-3.1-pro=33.4. -gemini-3.1-pro,Gemini 3.1 Pro,Google,ojbench,OJBench,Coding,,70.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=70.7. +gemini-3.1-pro,Gemini 3.1 Pro,Google,ojbench,OJBench,Coding,%,70.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gemini-3.1-pro=70.7. gemini-3.1-pro,Gemini 3.1 Pro,Google,scicode,SciCode,Coding,% correct,59.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table: SciCode 59% (rounded; existing 58.9 within rounding) gemini-3.1-pro,Gemini 3.1 Pro,Google,simpleqa_verified,SimpleQA-Verified,Knowledge,% correct (pass@1),75.6,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gemini-3.1-pro (per their own canonical config) = 75.6. gemini-3.1-pro,Gemini 3.1 Pro,Google,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,76.9,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic (bash + edit)""}",Kimi K2.6 model card: gemini-3.1-pro=76.9. @@ -1120,7 +1120,7 @@ glm-4.6,GLM-4.6,Zhipu AI,gaia,GAIA (text only),Agentic,%,71.9,https://huggingfac glm-4.6,GLM-4.6,Zhipu AI,gpqa_diamond,GPQA Diamond,Science,% correct,81.0,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=81.0. glm-4.6,GLM-4.6,Zhipu AI,gpqa_main,GPQA Main (full set),Science,,81.0,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-4.7 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.6, slug=glm-4.6, provider=Zhipu AI" glm-4.6,GLM-4.6,Zhipu AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,17.2,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=17.2. -glm-4.6,GLM-4.6,Zhipu AI,hle_text,HLE Text,Search Agent,%,17.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-4.7 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.6, slug=glm-4.6, provider=Zhipu AI" +glm-4.6,GLM-4.6,Zhipu AI,hle_text,HLE Text,Reasoning,%,17.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-4.7 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.6, slug=glm-4.6, provider=Zhipu AI" glm-4.6,GLM-4.6,Zhipu AI,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),30.4,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""search+code+web""}","GLM-4.7 blog (same provider Zhipu, third-party for GLM-4.6): GLM-4.6=30.4 in comparison table." glm-4.6,GLM-4.6,Zhipu AI,hmmt_feb_2025,HMMT Feb 2025,Math,%,89.2,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=89.2. glm-4.6,GLM-4.6,Zhipu AI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,87.7,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=87.7. @@ -1128,7 +1128,7 @@ glm-4.6,GLM-4.6,Zhipu AI,ifbench,IFBench,Instruction Following,% correct,43.0,ht glm-4.6,GLM-4.6,Zhipu AI,imo_answerbench,IMO-AnswerBench,Math,,73.5,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=73.5. glm-4.6,GLM-4.6,Zhipu AI,livecodebench,LiveCodeBench,Coding,pass@1 %,70.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: glm-4.6=70. glm-4.6,GLM-4.6,Zhipu AI,mmlu_pro,MMLU-Pro,Knowledge,% correct,83.2,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.6=83.2. -glm-4.6,GLM-4.6,Zhipu AI,multi_swe_bench,Multi-SWE-bench,Coding,,30.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: glm-4.6=30. +glm-4.6,GLM-4.6,Zhipu AI,multi_swe_bench,Multi-SWE-bench,Coding,%,30.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: glm-4.6=30. glm-4.6,GLM-4.6,Zhipu AI,scicode,SciCode,Coding,% correct,38.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: glm-4.6=38. glm-4.6,GLM-4.6,Zhipu AI,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,53.8,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-4.7 blog: glm-4.6=53.8. glm-4.6,GLM-4.6,Zhipu AI,swe_bench_verified,SWE-bench Verified,Coding,% resolved,68.0,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-4.7 blog: glm-4.6=68.0. @@ -1145,7 +1145,7 @@ glm-4.7,GLM-4.7,Zhipu AI,frontiermath,FrontierMath,Math,% correct T1-3,2.4,https glm-4.7,GLM-4.7,Zhipu AI,gpqa_diamond,GPQA Diamond,Science,% correct,85.7,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5 blog: glm-4.7=85.7. glm-4.7,GLM-4.7,Zhipu AI,gpqa_main,GPQA Main (full set),Science,,85.7,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.7, slug=glm-4.7, provider=Zhipu AI" glm-4.7,GLM-4.7,Zhipu AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,24.8,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5 blog: glm-4.7=24.8. -glm-4.7,GLM-4.7,Zhipu AI,hle_text,HLE Text,Search Agent,%,42.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.7, slug=glm-4.7, provider=Zhipu AI" +glm-4.7,GLM-4.7,Zhipu AI,hle_text,HLE Text,Reasoning,%,42.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-4.7, slug=glm-4.7, provider=Zhipu AI" glm-4.7,GLM-4.7,Zhipu AI,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),42.8,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""search+code+web""}",GLM-4.7 blog (first-party): GLM-4.7=42.8. Also confirmed in z.ai/blog/glm-5 (third-party: 42.8). glm-4.7,GLM-4.7,Zhipu AI,hmmt_feb_2025,HMMT Feb 2025,Math,%,97.1,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-4.7 blog: glm-4.7=97.1. glm-4.7,GLM-4.7,Zhipu AI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,93.5,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5 blog: glm-4.7=93.5. @@ -1189,7 +1189,7 @@ glm-5.1,GLM-5.1,Zhipu AI,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledg glm-5.1,GLM-5.1,Zhipu AI,gpqa_diamond,GPQA Diamond,Science,% correct,86.2,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 86.2. glm-5.1,GLM-5.1,Zhipu AI,gpqa_main,GPQA Main (full set),Science,,86.2,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-5.1, slug=glm-5.1, provider=Zhipu AI" glm-5.1,GLM-5.1,Zhipu AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,34.7,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 34.7. -glm-5.1,GLM-5.1,Zhipu AI,hle_text,HLE Text,Search Agent,%,52.3,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-5.1, slug=glm-5.1, provider=Zhipu AI" +glm-5.1,GLM-5.1,Zhipu AI,hle_text,HLE Text,Reasoning,%,52.3,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-5.1, slug=glm-5.1, provider=Zhipu AI" glm-5.1,GLM-5.1,Zhipu AI,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),52.3,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""search+code+web""}","GLM-5.1 blog (first-party): GLM-5.1=52.3. Footnote: starred values (53.1*, 51.4*, 52.1* for Opus 4.6/Gemini 3.1/GPT-5.4) are full-set; GLM-5.1 unstarred = text-only subset not stated explicitly but consistent." glm-5.1,GLM-5.1,Zhipu AI,hmmt_feb_2025,HMMT Feb 2025,Math,%,94.0,https://llm-stats.com/benchmarks/hmmt-2025,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GLM-5.1, slug=glm-5.1, provider=Zhipu AI" glm-5.1,GLM-5.1,Zhipu AI,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),89.4,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): glm-5.1 (per their own canonical config) = 89.4. @@ -1216,7 +1216,7 @@ gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,humaneval,HumanEval,Coding,pass@1 %,68 gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,ifeval,IFEval,Instruction Following,% correct (prompt strict),66.9,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): ifeval=66.9. Third-party Allen AI self-test, mc=false." gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,math,MATH,Math,,41.2,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): math=41.2. Third-party Allen AI self-test, mc=false." gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,mathvista,MathVista,Math/Vision,%,0.0,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=GPT-3.5 Turbo, slug=gpt-3.5-turbo-0125, provider=OpenAI" -gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,mgsm,MGSM,Math,%,56.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=GPT-3.5 Turbo, slug=gpt-3.5-turbo-0125, provider=OpenAI" +gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,mgsm,MGSM,Math,exact match (%),56.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=GPT-3.5 Turbo, slug=gpt-3.5-turbo-0125, provider=OpenAI" gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,mmmu,MMMU,Multimodal,% correct,0.0,https://llm-stats.com/benchmarks/mmmu,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=GPT-3.5 Turbo, slug=gpt-3.5-turbo-0125, provider=OpenAI" gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,popqa,PopQA,QA,,45.0,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): popqa=45.0. Third-party Allen AI self-test, mc=false." gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,safety,Safety (OLMES suite),Safety,,69.1,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-3.5-turbo column): safety=69.1. Third-party Allen AI self-test, mc=false." @@ -1228,10 +1228,10 @@ gpt-4.1,GPT-4.1,OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),46.4,https:// gpt-4.1,GPT-4.1,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,5.5,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.1 Base LLM on leaderboard gpt-4.1,GPT-4.1,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.4,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.1 Base LLM on leaderboard gpt-4.1,GPT-4.1,OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,61.5,https://github.com/lmarena/arena-hard-auto,leaderboard,verified,True,"""Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge""", -gpt-4.1,GPT-4.1,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,85.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1=85.9 (high reasoning effort). +gpt-4.1,GPT-4.1,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,85.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1=85.9 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,14.55,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=default""", -gpt-4.1,GPT-4.1,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,87.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=87.9. -gpt-4.1,GPT-4.1,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),56.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1=56.7 (high reasoning effort). +gpt-4.1,GPT-4.1,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,87.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=87.9. +gpt-4.1,GPT-4.1,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,56.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1=56.7 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,collie,COLLIE,Instruction Following,%,65.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=65.8 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,65.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4.1=65.5. gpt-4.1,GPT-4.1,OpenAI,erqa,ERQA,Vision,%,44.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=44.3 (high reasoning effort). @@ -1241,7 +1241,7 @@ gpt-4.1,GPT-4.1,OpenAI,gpqa_main,GPQA Main (full set),Science,,66.3,https://llm- gpt-4.1,GPT-4.1,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,61.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=61.7 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,58.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=58.0 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,5.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=5.4 (high reasoning effort). -gpt-4.1,GPT-4.1,OpenAI,hle_text,HLE Text,Search Agent,%,5.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1, slug=gpt-4.1-2025-04-14, provider=OpenAI" +gpt-4.1,GPT-4.1,OpenAI,hle_text,HLE Text,Reasoning,%,5.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1, slug=gpt-4.1-2025-04-14, provider=OpenAI" gpt-4.1,GPT-4.1,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,28.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=28.9 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,ifeval,IFEval,Instruction Following,% correct (prompt strict),87.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=87.4. gpt-4.1,GPT-4.1,OpenAI,internal_api_if_hard,Internal API IF Hard,Instruction Following,%,49.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=49.1 (high reasoning effort). @@ -1255,7 +1255,7 @@ gpt-4.1,GPT-4.1,OpenAI,mmmlu,MMMLU,Knowledge,% correct,87.3,https://openai.com/i gpt-4.1,GPT-4.1,OpenAI,mmmu,MMMU,Multimodal,% correct,74.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=74.8 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,60.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=60.3 (high reasoning effort). gpt-4.1,GPT-4.1,OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,57.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=57.2. -gpt-4.1,GPT-4.1,OpenAI,mt_aime_2024,MT-AIME2024,Math,,48.1,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1, slug=gpt-4.1-2025-04-14, provider=OpenAI" +gpt-4.1,GPT-4.1,OpenAI,mt_aime_2024,MT-AIME2024,Math,%,48.1,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1, slug=gpt-4.1-2025-04-14, provider=OpenAI" gpt-4.1,GPT-4.1,OpenAI,multi_if,Multi-IF,Instruction Following,%,70.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=70.8. gpt-4.1,GPT-4.1,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,38.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1=38.3. gpt-4.1,GPT-4.1,OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,46.2,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1=46.2 (high reasoning effort). @@ -1277,9 +1277,9 @@ gpt-4.1-mini,GPT-4.1 mini,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,3.5,htt gpt-4.1-mini,GPT-4.1 mini,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.1-Mini Base LLM on leaderboard gpt-4.1-mini,GPT-4.1 mini,OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,28.2,https://github.com/lmarena/arena-hard-auto,leaderboard,verified,True,"""Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge""", gpt-4.1-mini,GPT-4.1 mini,OpenAI,bigcodebench,BigCodeBench,Coding,pass@1 %,48.9,https://bigcode-bench.github.io/,leaderboard,verified,True,"""BigCodeBench Complete Instruct pass@1""", -gpt-4.1-mini,GPT-4.1 mini,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,89.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=89.0 (high reasoning effort). -gpt-4.1-mini,GPT-4.1 mini,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,88.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=88.4. -gpt-4.1-mini,GPT-4.1 mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),56.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=56.8 (high reasoning effort). +gpt-4.1-mini,GPT-4.1 mini,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,89.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=89.0 (high reasoning effort). +gpt-4.1-mini,GPT-4.1 mini,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,88.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=88.4. +gpt-4.1-mini,GPT-4.1 mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,56.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=56.8 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,collie,COLLIE,Instruction Following,%,54.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=54.6 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,49.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=49.3. gpt-4.1-mini,GPT-4.1 mini,OpenAI,erqa,ERQA,Vision,%,42.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=42.3 (high reasoning effort). @@ -1289,7 +1289,7 @@ gpt-4.1-mini,GPT-4.1 mini,OpenAI,gpqa_main,GPQA Main (full set),Science,,65.0,ht gpt-4.1-mini,GPT-4.1 mini,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,61.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=61.7 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,60.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=60.5 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,3.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=3.7 (high reasoning effort). -gpt-4.1-mini,GPT-4.1 mini,OpenAI,hle_text,HLE Text,Search Agent,%,3.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 mini, slug=gpt-4.1-mini-2025-04-14, provider=OpenAI" +gpt-4.1-mini,GPT-4.1 mini,OpenAI,hle_text,HLE Text,Reasoning,%,3.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 mini, slug=gpt-4.1-mini-2025-04-14, provider=OpenAI" gpt-4.1-mini,GPT-4.1 mini,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,35.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=35.0 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,ifeval,IFEval,Instruction Following,% correct (prompt strict),84.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=84.1. gpt-4.1-mini,GPT-4.1 mini,OpenAI,internal_api_if_hard,Internal API IF Hard,Instruction Following,%,45.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=45.1 (high reasoning effort). @@ -1300,7 +1300,7 @@ gpt-4.1-mini,GPT-4.1 mini,OpenAI,mmmlu,MMMLU,Knowledge,% correct,78.5,https://op gpt-4.1-mini,GPT-4.1 mini,OpenAI,mmmu,MMMU,Multimodal,% correct,72.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=72.7 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,58.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=58.9 (high reasoning effort). gpt-4.1-mini,GPT-4.1 mini,OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,47.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=47.2. -gpt-4.1-mini,GPT-4.1 mini,OpenAI,mt_aime_2024,MT-AIME2024,Math,,49.6,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 mini, slug=gpt-4.1-mini-2025-04-14, provider=OpenAI" +gpt-4.1-mini,GPT-4.1 mini,OpenAI,mt_aime_2024,MT-AIME2024,Math,%,49.6,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 mini, slug=gpt-4.1-mini-2025-04-14, provider=OpenAI" gpt-4.1-mini,GPT-4.1 mini,OpenAI,multi_if,Multi-IF,Instruction Following,%,67.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=67.0. gpt-4.1-mini,GPT-4.1 mini,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,35.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-mini=35.8. gpt-4.1-mini,GPT-4.1 mini,OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,42.2,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-mini=42.2 (high reasoning effort). @@ -1318,9 +1318,9 @@ gpt-4.1-nano,GPT-4.1 nano,OpenAI,aime_2024,AIME 2024,Math,% correct (pass@1),29. gpt-4.1-nano,GPT-4.1 nano,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,0.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.1-Nano Base LLM on leaderboard gpt-4.1-nano,GPT-4.1 nano,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.1-Nano Base LLM on leaderboard gpt-4.1-nano,GPT-4.1 nano,OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,10.7,https://github.com/lmarena/arena-hard-auto,leaderboard,verified,True,"""Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge""", -gpt-4.1-nano,GPT-4.1 nano,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,89.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=89.4 (high reasoning effort). -gpt-4.1-nano,GPT-4.1 nano,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,73.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=73.9. -gpt-4.1-nano,GPT-4.1 nano,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),40.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=40.5 (high reasoning effort). +gpt-4.1-nano,GPT-4.1 nano,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,89.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=89.4 (high reasoning effort). +gpt-4.1-nano,GPT-4.1 nano,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,73.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=73.9. +gpt-4.1-nano,GPT-4.1 nano,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,40.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=40.5 (high reasoning effort). gpt-4.1-nano,GPT-4.1 nano,OpenAI,collie,COLLIE,Instruction Following,%,42.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=42.5 (high reasoning effort). gpt-4.1-nano,GPT-4.1 nano,OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,5.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=5.7. gpt-4.1-nano,GPT-4.1 nano,OpenAI,erqa,ERQA,Vision,%,26.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=26.5 (high reasoning effort). @@ -1335,7 +1335,7 @@ gpt-4.1-nano,GPT-4.1 nano,OpenAI,mmmlu,MMMLU,Knowledge,% correct,66.9,https://op gpt-4.1-nano,GPT-4.1 nano,OpenAI,mmmu,MMMU,Multimodal,% correct,55.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=55.4 (high reasoning effort). gpt-4.1-nano,GPT-4.1 nano,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,33.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=33.0 (high reasoning effort). gpt-4.1-nano,GPT-4.1 nano,OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,36.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=36.6. -gpt-4.1-nano,GPT-4.1 nano,OpenAI,mt_aime_2024,MT-AIME2024,Math,,29.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 nano, slug=gpt-4.1-nano-2025-04-14, provider=OpenAI" +gpt-4.1-nano,GPT-4.1 nano,OpenAI,mt_aime_2024,MT-AIME2024,Math,%,29.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.1 nano, slug=gpt-4.1-nano-2025-04-14, provider=OpenAI" gpt-4.1-nano,GPT-4.1 nano,OpenAI,multi_if,Multi-IF,Instruction Following,%,57.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=57.2. gpt-4.1-nano,GPT-4.1 nano,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,15.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.1-nano=15.0. gpt-4.1-nano,GPT-4.1 nano,OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,31.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-4.1-nano=31.1 (high reasoning effort). @@ -1352,8 +1352,8 @@ gpt-4.5,GPT-4.5,OpenAI,aime_2024,AIME 2024,Math,% correct (pass@1),36.7,https:// gpt-4.5,GPT-4.5,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,10.3,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.5 Base LLM on leaderboard gpt-4.5,GPT-4.5,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.8,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-4.5 Base LLM on leaderboard gpt-4.5,GPT-4.5,OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,51.4,https://github.com/lmarena/arena-hard-auto,leaderboard,verified,True,"""Arena-Hard-v2.0 Creative Writing, Ensemble GPT-4.1+Gemini-2.5-Pro judge""", -gpt-4.5,GPT-4.5,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,90.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=90.0. -gpt-4.5,GPT-4.5,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),55.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=55.4. +gpt-4.5,GPT-4.5,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,90.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=90.0. +gpt-4.5,GPT-4.5,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,55.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=55.4. gpt-4.5,GPT-4.5,OpenAI,collie,COLLIE,Instruction Following,%,72.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=72.3. gpt-4.5,GPT-4.5,OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,63.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4.5=63.0. gpt-4.5,GPT-4.5,OpenAI,gpqa_diamond,GPQA Diamond,Science,% correct,69.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=69.5. @@ -1367,7 +1367,7 @@ gpt-4.5,GPT-4.5,OpenAI,mathvista,MathVista,Math/Vision,%,72.3,https://openai.com gpt-4.5,GPT-4.5,OpenAI,mmmlu,MMMLU,Knowledge,% correct,85.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=85.1. gpt-4.5,GPT-4.5,OpenAI,mmmu,MMMU,Multimodal,% correct,75.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=75.2. gpt-4.5,GPT-4.5,OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,38.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=38.5. -gpt-4.5,GPT-4.5,OpenAI,mt_aime_2024,MT-AIME2024,Math,,36.7,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.5, slug=gpt-4.5, provider=OpenAI" +gpt-4.5,GPT-4.5,OpenAI,mt_aime_2024,MT-AIME2024,Math,%,36.7,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4.5, slug=gpt-4.5, provider=OpenAI" gpt-4.5,GPT-4.5,OpenAI,multi_if,Multi-IF,Instruction Following,%,70.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=70.8. gpt-4.5,GPT-4.5,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,43.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=43.8. gpt-4.5,GPT-4.5,OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,50.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4.5=50.1. @@ -1381,8 +1381,8 @@ gpt-4o,GPT-4o (2024-11-20),OpenAI,aime_2024,AIME 2024,Math,% correct (pass@1),13 gpt-4o,GPT-4o (2024-11-20),OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,4.5,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit R5b: GPT-4o Base LLM on leaderboard gpt-4o,GPT-4o (2024-11-20),OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit R5b: GPT-4o Base LLM on leaderboard gpt-4o,GPT-4o (2024-11-20),OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,95.4,https://mistral.ai/news/mistral-medium-3,official_blog,verified,False,"{""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""0-shot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",Mistral Medium 3 blog table: 95.4. Third-party self-test by Mistral (their internal eval pipeline). -gpt-4o,GPT-4o (2024-11-20),OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,85.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=85.3. -gpt-4o,GPT-4o (2024-11-20),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),52.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=52.7. +gpt-4o,GPT-4o (2024-11-20),OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,85.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=85.3. +gpt-4o,GPT-4o (2024-11-20),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,52.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=52.7. gpt-4o,GPT-4o (2024-11-20),OpenAI,collie,COLLIE,Instruction Following,%,50.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=50.2. gpt-4o,GPT-4o (2024-11-20),OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,66.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4o=66.5. gpt-4o,GPT-4o (2024-11-20),OpenAI,drop,DROP,Reasoning,%,83.4,https://llm-stats.com/benchmarks/drop,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-05-13, provider=OpenAI" @@ -1392,7 +1392,7 @@ gpt-4o,GPT-4o (2024-11-20),OpenAI,gpqa_main,GPQA Main (full set),Science,,70.1,h gpt-4o,GPT-4o (2024-11-20),OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,41.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=41.7. gpt-4o,GPT-4o (2024-11-20),OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,35.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=35.4. gpt-4o,GPT-4o (2024-11-20),OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,5.3,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" -gpt-4o,GPT-4o (2024-11-20),OpenAI,hle_text,HLE Text,Search Agent,%,5.3,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" +gpt-4o,GPT-4o (2024-11-20),OpenAI,hle_text,HLE Text,Reasoning,%,5.3,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" gpt-4o,GPT-4o (2024-11-20),OpenAI,humaneval,HumanEval,Coding,pass@1 %,91.5,https://mistral.ai/news/mistral-medium-3,official_blog,verified,False,"{""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""0-shot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",Mistral Medium 3 blog table: 91.5. Third-party self-test by Mistral (their internal eval pipeline). gpt-4o,GPT-4o (2024-11-20),OpenAI,ifeval,IFEval,Instruction Following,% correct (prompt strict),81.0,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=81.0. gpt-4o,GPT-4o (2024-11-20),OpenAI,internal_api_if_hard,Internal API IF Hard,Instruction Following,%,29.2,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=29.2. @@ -1400,13 +1400,13 @@ gpt-4o,,,livecodebench,,,,31.4,,,,,, gpt-4o,GPT-4o (2024-11-20),OpenAI,math,MATH,Math,,76.6,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-05-13, provider=OpenAI" gpt-4o,GPT-4o (2024-11-20),OpenAI,math_500,MATH-500,Math,% correct,76.4,https://mistral.ai/news/mistral-medium-3,official_blog,verified,False,"{""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""0-shot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",Mistral Medium 3 blog table: 76.4. Third-party self-test by Mistral (their internal eval pipeline). gpt-4o,GPT-4o (2024-11-20),OpenAI,mathvista,MathVista,Math/Vision,%,61.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=61.4. -gpt-4o,GPT-4o (2024-11-20),OpenAI,mgsm,MGSM,Math,%,90.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-05-13, provider=OpenAI" +gpt-4o,GPT-4o (2024-11-20),OpenAI,mgsm,MGSM,Math,exact match (%),90.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-05-13, provider=OpenAI" gpt-4o,GPT-4o (2024-11-20),OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,75.8,https://mistral.ai/news/mistral-medium-3,official_blog,verified,False,"{""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""5-shot CoT"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",Mistral Medium 3 blog table: 75.8. Third-party self-test by Mistral (their internal eval pipeline). gpt-4o,GPT-4o (2024-11-20),OpenAI,mmmlu,MMMLU,Knowledge,% correct,81.4,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=81.4. gpt-4o,GPT-4o (2024-11-20),OpenAI,mmmu,MMMU,Multimodal,% correct,68.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=68.7. gpt-4o,GPT-4o (2024-11-20),OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,59.9,https://llm-stats.com/benchmarks/mmmu-pro,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" gpt-4o,GPT-4o (2024-11-20),OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,31.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=31.9. -gpt-4o,GPT-4o (2024-11-20),OpenAI,mt_aime_2024,MT-AIME2024,Math,,13.1,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" +gpt-4o,GPT-4o (2024-11-20),OpenAI,mt_aime_2024,MT-AIME2024,Math,%,13.1,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-4o, slug=gpt-4o-2024-08-06, provider=OpenAI" gpt-4o,GPT-4o (2024-11-20),OpenAI,multi_if,Multi-IF,Instruction Following,%,60.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=60.9. gpt-4o,GPT-4o (2024-11-20),OpenAI,multichallenge,MultiChallenge,Instruction Following,%,27.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=27.8. gpt-4o,GPT-4o (2024-11-20),OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,39.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o=39.9. @@ -1428,7 +1428,7 @@ gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,cluewsc,CLUEWSC,Chinese,%,87.9,https://ar gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,cnmo_2024,CNMO 2024,Math,%,10.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=10.8. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,codeforces_rating,Codeforces Rating,Coding,Elo rating,759.0,https://arxiv.org/abs/2501.12948,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek R1 paper Table 15: gpt-4o-0513=759. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,drop,DROP,Reasoning,%,83.7,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=83.7. -gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,frames,Frames,Agentic search,,80.5,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=80.5. +gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,frames,Frames,Agentic search,%,80.5,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=80.5. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,gpqa_diamond,GPQA Diamond,Science,% correct,49.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=49.9. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,gpqa_main,GPQA Main (full set),Science,,59.1,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (gpt-4o-0513 column): gpqa=59.1. Third-party Cohere reproduction, mc=false." gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,humaneval,HumanEval,Coding,pass@1 %,80.5,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=80.5. @@ -1440,7 +1440,7 @@ gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,longbench_v2,LongBench-V2,Long Context,%, gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,math,MATH,Math,,70.2,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (gpt-4o-0513 column): math=70.2. Third-party Cohere reproduction, mc=false." gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,math_500,MATH-500,Math,% correct,74.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=74.6. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,mbpp_plus,MBPP+,Coding,,89.9,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (gpt-4o-0513 column): mbpp_plus=89.9. Third-party Cohere reproduction, mc=false." -gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,mgsm,MGSM,Math,%,90.4,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-0513 column): mgsm=90.4 +gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,mgsm,MGSM,Math,exact match (%),90.4,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-0513 column): mgsm=90.4 gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,72.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=72.6. gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,repoqa,RepoQA,Coding,,92.2,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (gpt-4o-0513 column): repoqa=92.2. Third-party Cohere reproduction, mc=false." gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,simpleqa,SimpleQA,Knowledge,% correct,38.2,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: gpt-4o-0513=38.2. @@ -1452,8 +1452,8 @@ gpt-4o-mini,GPT-4o mini,OpenAI,alpacaeval_2,AlpacaEval 2.0 (LC-winrate),Chat,%,4 gpt-4o-mini,GPT-4o mini,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,0.0,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""n/a"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""Base LLM"", ""tools"": ""none""}",arcprize.org leaderboard audit R5b: GPT-4o-mini Base LLM on leaderboard (arc_agi_1 N/A) gpt-4o-mini,GPT-4o mini,OpenAI,arena_hard,Arena-Hard Auto,Instruction Following,% win rate,76.2,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): arena_hard=76.2 gpt-4o-mini,GPT-4o mini,OpenAI,bigbench_hard,BigBench Hard (BBH),Reasoning,,65.9,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): bigbench_hard=65.9. Third-party Allen AI self-test, mc=false." -gpt-4o-mini,GPT-4o mini,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,76.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=76.6. -gpt-4o-mini,GPT-4o mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),36.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=36.8. +gpt-4o-mini,GPT-4o mini,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,76.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=76.6. +gpt-4o-mini,GPT-4o mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,36.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=36.8. gpt-4o-mini,GPT-4o mini,OpenAI,collie,COLLIE,Instruction Following,%,52.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=52.7. gpt-4o-mini,GPT-4o mini,OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,38.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: gpt-4o-mini=38.6. gpt-4o-mini,GPT-4o mini,OpenAI,drop,DROP,Reasoning,%,79.3,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): drop=79.3 @@ -1469,7 +1469,7 @@ gpt-4o-mini,GPT-4o mini,OpenAI,livebench,LiveBench,Composite,overall score,48.1, gpt-4o-mini,GPT-4o mini,OpenAI,math,MATH,Math,,67.9,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (gpt-4o-mini column): math=67.9. Third-party Allen AI self-test, mc=false." gpt-4o-mini,GPT-4o mini,OpenAI,math_500,MATH-500,Math,% correct,73.0,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): math_500=73.0 gpt-4o-mini,GPT-4o mini,OpenAI,mathvista,MathVista,Math/Vision,%,56.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=56.5. -gpt-4o-mini,GPT-4o mini,OpenAI,mgsm,MGSM,Math,%,86.5,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): mgsm=86.5 +gpt-4o-mini,GPT-4o mini,OpenAI,mgsm,MGSM,Math,exact match (%),86.5,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): mgsm=86.5 gpt-4o-mini,GPT-4o mini,OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,63.4,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (gpt-4o-mini column): mmlu_pro=63.4 gpt-4o-mini,GPT-4o mini,OpenAI,mmmlu,MMMLU,Knowledge,% correct,70.5,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=70.5. gpt-4o-mini,GPT-4o mini,OpenAI,mmmu,MMMU,Multimodal,% correct,56.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: gpt-4o-mini=56.3. @@ -1492,11 +1492,11 @@ gpt-5,GPT-5,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,65.7,https://arcprize gpt-5,GPT-5,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,9.9,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: GPT-5 (High) on leaderboard gpt-5,GPT-5,OpenAI,artifactsbench,ArtifactsBench,Coding,%,73.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",MiniMax M2 model card: gpt-5=73. gpt-5,GPT-5,OpenAI,browsecomp,BrowseComp,Agentic,% correct,54.9,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",DeepSeek V3.2 tech report Table 2: gpt-5=54.9. -gpt-5,GPT-5,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,90.0,https://openai.com/index/gpt-5-1-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official with apply_patch"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 90.0. +gpt-5,GPT-5,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,90.0,https://openai.com/index/gpt-5-1-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official with apply_patch"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 90.0. gpt-5,GPT-5,OpenAI,browsecomp_zh,BrowseComp-ZH,Agentic search,,63.0,https://z.ai/blog/glm-4.7,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-4.7 blog: gpt-5=63.0. gpt-5,GPT-5,OpenAI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),91.67,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""reasoning_effort:high""", gpt-5,GPT-5,OpenAI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,21.82,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=default""", -gpt-5,GPT-5,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),81.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-5=81.1 (high reasoning effort). +gpt-5,GPT-5,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,81.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: gpt-5=81.1 (high reasoning effort). gpt-5,GPT-5,OpenAI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),90.0,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""reasoning_effort:high""", gpt-5,GPT-5,OpenAI,codeforces_rating,Codeforces Rating,Coding,Elo rating,2537.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gpt-5=2537. gpt-5,GPT-5,OpenAI,collie,COLLIE,Instruction Following,%,99.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-5=99.0 (high reasoning effort). @@ -1513,7 +1513,7 @@ gpt-5,GPT-5,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,7 gpt-5,GPT-5,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,73.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-5=73.3 (high reasoning effort). gpt-5,GPT-5,OpenAI,healthbench,HealthBench,Knowledge,%,67.2,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: gpt-5=67.2. gpt-5,GPT-5,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,24.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-5=24.8 (high reasoning effort). -gpt-5,GPT-5,OpenAI,hle_text,HLE Text,Search Agent,%,24.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5, slug=gpt-5-2025-08-07, provider=OpenAI" +gpt-5,GPT-5,OpenAI,hle_text,HLE Text,Reasoning,%,24.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5, slug=gpt-5-2025-08-07, provider=OpenAI" gpt-5,GPT-5,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,88.3,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gpt-5=88.3. gpt-5,GPT-5,OpenAI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,89.2,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gpt-5=89.2. gpt-5,GPT-5,OpenAI,ifbench,IFBench,Instruction Following,% correct,73.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: gpt-5=73. @@ -1526,13 +1526,13 @@ gpt-5,GPT-5,OpenAI,longfact_objects,LongFact-Objects (hallucination rate),Halluc gpt-5,GPT-5,OpenAI,math,MATH,Math,,84.7,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5, slug=gpt-5-2025-08-07, provider=OpenAI" gpt-5,GPT-5,OpenAI,math_500,MATH-500,Math,% correct,99.4,https://artificialanalysis.ai/evaluations/math-500,third_party,verified,,"{""effort"": ""high (AA default)"", ""harness"": ""AA standard evaluation"", ""mode"": ""thinking"", ""notes"": ""Per AA evaluations/math-500: gpt-5 math_500=99.4%"", ""sampling"": ""pass@1""}","ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback). AA MATH-500 eval page: gpt-5 math_500=0.994 → 99.4%. AA slug: gpt-5 (deprecated, reasoning variant)." gpt-5,GPT-5,OpenAI,matharena_apex_2025,MathArena Apex 2025,Math,% correct,1.04,https://matharena.ai/?comp=apex--apex_2025,leaderboard,verified,True,"""reasoning_effort:high""", -gpt-5,GPT-5,OpenAI,mcpmark,MCPMark,Agentic,,50.9,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""high"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: GPT-5-High=50.9. DS uses internal MCP environment (not official setting). Third-party self-test. +gpt-5,GPT-5,OpenAI,mcpmark,MCPMark,Agentic,% success (pass@1),50.9,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""high"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: GPT-5-High=50.9. DS uses internal MCP environment (not official setting). Third-party self-test. gpt-5,GPT-5,OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.5,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: gpt-5=87.5. gpt-5,GPT-5,OpenAI,mmmu,MMMU,Multimodal,% correct,84.2,https://openai.com/index/gpt-5-1-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official with apply_patch"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.1 dev blog (cross-model column): GPT-5 = 84.2. gpt-5,GPT-5,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,78.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-5=78.4 (high reasoning effort). gpt-5,GPT-5,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,69.6,https://llm-stats.com/benchmarks/multichallenge,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5, slug=gpt-5-2025-08-07, provider=OpenAI" gpt-5,GPT-5,OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,69.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: gpt-5=69.6 (high reasoning effort). -gpt-5,GPT-5,OpenAI,ojbench,OJBench,Coding,,56.2,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: gpt-5=56.2. +gpt-5,GPT-5,OpenAI,ojbench,OJBench,Coding,%,56.2,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: gpt-5=56.2. gpt-5,GPT-5,OpenAI,scicode,SciCode,Coding,% correct,42.9,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: gpt-5=42.9. gpt-5,GPT-5,OpenAI,simpleqa,SimpleQA,Knowledge,% correct,55.0,https://cdn.openai.com/gpt-5-system-card.pdf,official_paper,verified,True,, gpt-5,GPT-5,OpenAI,smt_2025,SMT 2025,Math,% correct (pass@1),91.98,https://matharena.ai/?comp=smt--smt_2025,leaderboard,verified,True,"""reasoning_effort:high""", @@ -1552,8 +1552,8 @@ gpt-5,GPT-5,OpenAI,video_mmmu,Video-MMMU,Video/Multimodal,%,84.6,https://openai. gpt-5,GPT-5,OpenAI,xbench_deepsearch,xbench-DeepSearch,Search Agent,%,77.8,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",MiniMax M2 model card: gpt-5=77.8. gpt-5-mini,GPT-5 mini,OpenAI,aider_polyglot_diff,Aider Polyglot (diff mode),Coding,%,71.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Aider polyglot diff, per GPT-5 dev blog table 2" gpt-5-mini,GPT-5 mini,OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),91.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","AIME 2025 no tools, per GPT-5 dev blog table 0" -gpt-5-mini,GPT-5 mini,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,89.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","BrowseComp Long Context 128k, per GPT-5 dev blog table 5" -gpt-5-mini,GPT-5 mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),75.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""python""}","CharXiv reasoning python-enabled, per GPT-5 dev blog table 1" +gpt-5-mini,GPT-5 mini,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,89.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","BrowseComp Long Context 128k, per GPT-5 dev blog table 5" +gpt-5-mini,GPT-5 mini,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,75.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""python""}","CharXiv reasoning python-enabled, per GPT-5 dev blog table 1" gpt-5-mini,GPT-5 mini,OpenAI,collie,COLLIE,Instruction Following,%,98.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","COLLIE, per GPT-5 dev blog table 3" gpt-5-mini,GPT-5 mini,OpenAI,erqa,ERQA,Vision,%,62.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","ERQA, per GPT-5 dev blog table 1" gpt-5-mini,GPT-5 mini,OpenAI,factscore,FActScore (hallucination rate),Hallucination,%,3.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","FActScore hallucination rate, per GPT-5 dev blog table 6" @@ -1564,7 +1564,7 @@ gpt-5-mini,GPT-5 mini,OpenAI,gpqa_main,GPQA Main (full set),Science,,82.3,https: gpt-5-mini,GPT-5 mini,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,73.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Graphwalks BFS <128k, per GPT-5 dev blog table 5" gpt-5-mini,GPT-5 mini,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,64.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Graphwalks parents <128k, per GPT-5 dev blog table 5" gpt-5-mini,GPT-5 mini,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,16.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","HLE no tools, per GPT-5 dev blog table 0" -gpt-5-mini,GPT-5 mini,OpenAI,hle_text,HLE Text,Search Agent,%,16.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5 mini, slug=gpt-5-mini-2025-08-07, provider=OpenAI" +gpt-5-mini,GPT-5 mini,OpenAI,hle_text,HLE Text,Reasoning,%,16.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5 mini, slug=gpt-5-mini-2025-08-07, provider=OpenAI" gpt-5-mini,GPT-5 mini,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,87.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","HMMT 2025 no tools, per GPT-5 dev blog table 0" gpt-5-mini,GPT-5 mini,OpenAI,internal_api_if_hard,Internal API IF Hard,Instruction Following,%,65.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Internal API IF hard, per GPT-5 dev blog table 3" gpt-5-mini,GPT-5 mini,OpenAI,longfact_concepts,LongFact-Concepts (hallucination rate),Hallucination,%,0.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","LongFact-Concepts hallucination rate, per GPT-5 dev blog table 6" @@ -1582,8 +1582,8 @@ gpt-5-mini,GPT-5 mini,OpenAI,video_mme,Video-MME,Multimodal,,78.5,https://openai gpt-5-mini,GPT-5 mini,OpenAI,video_mmmu,Video-MMMU,Video/Multimodal,%,82.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","VideoMMMU max-frame 256, per GPT-5 dev blog table 1" gpt-5-nano,GPT-5 nano,OpenAI,aider_polyglot_diff,Aider Polyglot (diff mode),Coding,%,48.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Aider polyglot diff, per GPT-5 dev blog table 2" gpt-5-nano,GPT-5 nano,OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),85.2,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","AIME 2025 no tools, per GPT-5 dev blog table 0" -gpt-5-nano,GPT-5 nano,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,80.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","BrowseComp Long Context 128k, per GPT-5 dev blog table 5" -gpt-5-nano,GPT-5 nano,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),62.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""python""}","CharXiv reasoning python-enabled, per GPT-5 dev blog table 1" +gpt-5-nano,GPT-5 nano,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,80.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","BrowseComp Long Context 128k, per GPT-5 dev blog table 5" +gpt-5-nano,GPT-5 nano,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,62.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""python""}","CharXiv reasoning python-enabled, per GPT-5 dev blog table 1" gpt-5-nano,GPT-5 nano,OpenAI,collie,COLLIE,Instruction Following,%,96.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","COLLIE, per GPT-5 dev blog table 3" gpt-5-nano,GPT-5 nano,OpenAI,erqa,ERQA,Vision,%,50.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","ERQA, per GPT-5 dev blog table 1" gpt-5-nano,GPT-5 nano,OpenAI,factscore,FActScore (hallucination rate),Hallucination,%,7.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","FActScore hallucination rate, per GPT-5 dev blog table 6" @@ -1594,7 +1594,7 @@ gpt-5-nano,GPT-5 nano,OpenAI,gpqa_main,GPQA Main (full set),Science,,71.2,https: gpt-5-nano,GPT-5 nano,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,64.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Graphwalks BFS <128k, per GPT-5 dev blog table 5" gpt-5-nano,GPT-5 nano,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,43.8,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Graphwalks parents <128k, per GPT-5 dev blog table 5" gpt-5-nano,GPT-5 nano,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,8.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","HLE no tools, per GPT-5 dev blog table 0" -gpt-5-nano,GPT-5 nano,OpenAI,hle_text,HLE Text,Search Agent,%,8.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5 nano, slug=gpt-5-nano-2025-08-07, provider=OpenAI" +gpt-5-nano,GPT-5 nano,OpenAI,hle_text,HLE Text,Reasoning,%,8.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5 nano, slug=gpt-5-nano-2025-08-07, provider=OpenAI" gpt-5-nano,GPT-5 nano,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,75.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","HMMT 2025 no tools, per GPT-5 dev blog table 0" gpt-5-nano,GPT-5 nano,OpenAI,internal_api_if_hard,Internal API IF Hard,Instruction Following,%,56.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","Internal API IF hard, per GPT-5 dev blog table 3" gpt-5-nano,GPT-5 nano,OpenAI,longfact_concepts,LongFact-Concepts (hallucination rate),Hallucination,%,1.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1"", ""tools"": ""none""}","LongFact-Concepts hallucination rate, per GPT-5 dev blog table 6" @@ -1615,10 +1615,10 @@ gpt-5.1,GPT-5.1,OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),94.0,https:// gpt-5.1,GPT-5.1,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,72.8,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 72.8. gpt-5.1,GPT-5.1,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,17.6,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 17.6. gpt-5.1,GPT-5.1,OpenAI,browsecomp,BrowseComp,Agentic,% correct,50.8,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 50.8. -gpt-5.1,GPT-5.1,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,90.0,https://openai.com/index/gpt-5-1-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official with apply_patch"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.1 dev blog: 90.0 (high reasoning effort). +gpt-5.1,GPT-5.1,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,90.0,https://openai.com/index/gpt-5-1-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official with apply_patch"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.1 dev blog: 90.0 (high reasoning effort). gpt-5.1,GPT-5.1,OpenAI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),93.33,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""reasoning_effort:high""", gpt-5.1,GPT-5.1,OpenAI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,25.45,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=default""", -gpt-5.1,GPT-5.1,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),67.0,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 67.0. +gpt-5.1,GPT-5.1,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,67.0,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 67.0. gpt-5.1,GPT-5.1,OpenAI,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1439.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: gpt-5.1 (rank 52). ELO updates continuously; score reflects latest available. gpt-5.1,GPT-5.1,OpenAI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),91.88,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""reasoning_effort:high""", gpt-5.1,GPT-5.1,OpenAI,frontiermath,FrontierMath,Math,% correct T1-3,31.0,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog (cross-model column): GPT-5.1 = 31.0. @@ -1654,15 +1654,15 @@ gpt-5.2,GPT-5.2,OpenAI,aime_2026,AIME 2026,Math,% correct (pass@1),96.7,https:// gpt-5.2,GPT-5.2,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,86.2,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 86.2 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,52.9,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 52.9 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,artifactsbench,ArtifactsBench,Coding,%,71.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=71.1. -gpt-5.2,GPT-5.2,OpenAI,babyvision,BabyVision,Multimodal,,37.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=37.4. +gpt-5.2,GPT-5.2,OpenAI,babyvision,BabyVision,Multimodal,% accuracy,37.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=37.4. gpt-5.2,GPT-5.2,OpenAI,beyond_aime,Beyond AIME,Math,%,86.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=86.0. gpt-5.2,GPT-5.2,OpenAI,browsecomp,BrowseComp,Agentic,% correct,65.8,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.2 blog: 65.8 (xhigh reasoning effort). -gpt-5.2,GPT-5.2,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,92.0,https://llm-stats.com/benchmarks/browsecomp-long-128k,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.2 blog: reasoning effort=xhigh, research environment."", ""prompt_style"": ""default (with prompt adjustment for τ²-bench)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.2, slug=gpt-5.2-2025-12-11, provider=OpenAI" +gpt-5.2,GPT-5.2,OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,92.0,https://llm-stats.com/benchmarks/browsecomp-long-128k,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.2 blog: reasoning effort=xhigh, research environment."", ""prompt_style"": ""default (with prompt adjustment for τ²-bench)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.2, slug=gpt-5.2-2025-12-11, provider=OpenAI" gpt-5.2,GPT-5.2,OpenAI,browsecomp_zh,BrowseComp-ZH,Agentic search,,76.1,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5 blog: gpt-5.2=76.1. gpt-5.2,GPT-5.2,OpenAI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),98.33,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,False,"""reasoning_effort:high""", gpt-5.2,GPT-5.2,OpenAI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,27.27,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""", -gpt-5.2,GPT-5.2,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,93.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=93.8. -gpt-5.2,GPT-5.2,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),82.1,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.2 blog: 82.1 (xhigh reasoning effort). +gpt-5.2,GPT-5.2,OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,93.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=93.8. +gpt-5.2,GPT-5.2,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,82.1,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.2 blog: 82.1 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,chatbot_arena_elo,Chatbot Arena Elo,Human Preference,Elo rating,1438.0,https://lmarena.ai/leaderboard/text,leaderboard,verified,True,,lmarena.ai text arena (fetched 2026-04-29). Arena model name: gpt-5.2 (rank 54). ELO updates continuously; score reflects latest available. gpt-5.2,GPT-5.2,OpenAI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),91.25,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,False,"""reasoning_effort:high""", gpt-5.2,GPT-5.2,OpenAI,codeforces_rating,Codeforces Rating,Coding,Elo rating,3148.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=3148. @@ -1672,7 +1672,7 @@ gpt-5.2,GPT-5.2,OpenAI,deepsearchqa_acc,DeepSearchQA (Accuracy),Search Agent,%,7 gpt-5.2,GPT-5.2,OpenAI,erqa,ERQA,Vision,%,59.8,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=59.8. gpt-5.2,GPT-5.2,OpenAI,factscore,FActScore (hallucination rate),Hallucination,%,91.9,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=91.9. gpt-5.2,GPT-5.2,OpenAI,finance_agent,Finance Agent v1.1,Agentic,% solved,59.5,https://openai.com/index/introducing-gpt-5-4/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.4 blog table: 59.5. -gpt-5.2,GPT-5.2,OpenAI,frames,Frames,Agentic search,,84.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=84.0. +gpt-5.2,GPT-5.2,OpenAI,frames,Frames,Agentic search,%,84.0,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=84.0. gpt-5.2,GPT-5.2,OpenAI,frontiermath,FrontierMath,Math,% correct T1-3,40.3,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 40.3 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,frontiermath_tier4,FrontierMath Tier 4,Math,%,14.6,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 14.6 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1462.0,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Created from https://deepmind.google/models/gemini/pro/ (cross-model table). DeepMind /models/gemini/pro/ cross-model Performance table: GDPval-AA Elo 1462 [Promoted to verified — official DeepMind table.] @@ -1683,7 +1683,7 @@ gpt-5.2,GPT-5.2,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context gpt-5.2,GPT-5.2,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,89.0,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 89.0 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,healthbench,HealthBench,Knowledge,%,63.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=63.3. gpt-5.2,GPT-5.2,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,34.5,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.2 blog: 34.5 (xhigh reasoning effort). -gpt-5.2,GPT-5.2,OpenAI,hle_text,HLE Text,Search Agent,%,45.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=45.5. +gpt-5.2,GPT-5.2,OpenAI,hle_text,HLE Text,Reasoning,%,45.5,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=45.5. gpt-5.2,GPT-5.2,OpenAI,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),45.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,False,"""with tools, pass@1""","Reported in Kimi K2.5 HF model card (no asterisk = Moonshot used publicly available official score). Reference is Kimi card, not GPT primary source." gpt-5.2,GPT-5.2,OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,99.4,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 99.4 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,97.1,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5 blog: gpt-5.2=97.1. @@ -1698,14 +1698,14 @@ gpt-5.2,GPT-5.2,OpenAI,matharena_apex_2025,MathArena Apex 2025,Math,% correct,13 gpt-5.2,GPT-5.2,OpenAI,mathvision,MathVision,Math,% correct,83.0,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gpt-5.2=83.0. gpt-5.2,GPT-5.2,OpenAI,mathvista,MathVista,Math/Vision,%,83.1,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card: gpt-5.2=83.1. gpt-5.2,GPT-5.2,OpenAI,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),60.6,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.2 blog: 60.6 (xhigh reasoning effort). -gpt-5.2,GPT-5.2,OpenAI,mcpmark,MCPMark,Agentic,,57.5,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 57.5 (3rd-party Qwen self-test)." +gpt-5.2,GPT-5.2,OpenAI,mcpmark,MCPMark,Agentic,% success (pass@1),57.5,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mcpmark 57.5 (3rd-party Qwen self-test)." gpt-5.2,GPT-5.2,OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,86.7,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: gpt-5.2=86.7. gpt-5.2,GPT-5.2,OpenAI,mmmlu,MMMLU,Knowledge,% correct,89.6,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 89.6 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,mmmu,MMMU,Multimodal,% correct,86.7,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 86.7 (matches prior unverified value, re-sourced to HF Qwen3.5 card)." gpt-5.2,GPT-5.2,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,79.5,https://openai.com/index/introducing-gpt-5-2/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.2 blog: 79.5 (xhigh reasoning effort). gpt-5.2,GPT-5.2,OpenAI,mrcr_v2,MRCR v2,Long Context,% correct,83.8,https://deepmind.google/models/gemini/pro/,official_blog,verified,True,"{""context"": ""128k"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepMind /models/gemini/pro/ Performance table (PROMOTED from candidate; prior unverified value 70.0 from https://www.datacamp.com/blog/gpt-5-2 deleted per audit rule). DeepMind /models/gemini/pro/ cross-model Performance table: MRCR v2 8-needle 128k average 83.8% gpt-5.2,GPT-5.2,OpenAI,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,89.4,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Doubao Seed 2.0 model card Table 3: gpt-5.2=89.4. -gpt-5.2,GPT-5.2,OpenAI,multi_swe_bench,Multi-SWE-bench,Coding,,47.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=47.7. +gpt-5.2,GPT-5.2,OpenAI,multi_swe_bench,Multi-SWE-bench,Coding,%,47.7,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=47.7. gpt-5.2,GPT-5.2,OpenAI,multichallenge,MultiChallenge,Instruction Following,%,57.9,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 57.9 (3rd-party Qwen self-test)." gpt-5.2,GPT-5.2,OpenAI,nl2repo_bench,NL2Repo-Bench,Repository Code,%,49.3,https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""varies""}",Doubao Seed 2.0 model card: gpt-5.2=49.3. gpt-5.2,GPT-5.2,OpenAI,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.14,https://openai.com/index/introducing-gpt-5-4/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.4 blog table: 0.14. @@ -1732,10 +1732,10 @@ gpt-5.2,GPT-5.2,OpenAI,widesearch,WideSearch (item-F1),Search Agent,%,76.8,https gpt-5.4,GPT-5.4,OpenAI,aime_2026,AIME 2026,Math,% correct (pass@1),98.7,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: gpt-5.4=98.7. gpt-5.4,GPT-5.4,OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,93.7,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.5 blog table: 93.7. gpt-5.4,GPT-5.4,OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,73.3,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.5 blog table: 73.3. -gpt-5.4,GPT-5.4,OpenAI,babyvision,BabyVision,Multimodal,,49.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gpt-5.4=49.7. +gpt-5.4,GPT-5.4,OpenAI,babyvision,BabyVision,Multimodal,% accuracy,49.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gpt-5.4=49.7. gpt-5.4,GPT-5.4,OpenAI,browsecomp,BrowseComp,Agentic,% correct,82.7,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.5 blog table: 82.7. gpt-5.4,GPT-5.4,OpenAI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,25.45,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""", -gpt-5.4,GPT-5.4,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),82.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gpt-5.4=82.8. +gpt-5.4,GPT-5.4,OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,82.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gpt-5.4=82.8. gpt-5.4,GPT-5.4,OpenAI,chinese_simpleqa,Chinese-SimpleQA,Knowledge,%,76.8,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 76.8. gpt-5.4,GPT-5.4,OpenAI,codeforces_rating,Codeforces Rating,Coding,Elo rating,3168.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 3168. gpt-5.4,GPT-5.4,OpenAI,cybergym,CyberGym,Agentic,% solved,79.0,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.5 blog table: 79.0. @@ -1749,14 +1749,14 @@ gpt-5.4,GPT-5.4,OpenAI,gpqa_main,GPQA Main (full set),Science,,92.8,https://llm- gpt-5.4,GPT-5.4,OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,93.0,https://openai.com/index/introducing-gpt-5-4/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.4 blog table: 93.0. gpt-5.4,GPT-5.4,OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,89.8,https://openai.com/index/introducing-gpt-5-4/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.4 blog table: 89.8. gpt-5.4,GPT-5.4,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,39.8,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.5 blog table: 39.8. -gpt-5.4,GPT-5.4,OpenAI,hle_text,HLE Text,Search Agent,%,39.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.4 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.4, slug=gpt-5.4, provider=OpenAI" +gpt-5.4,GPT-5.4,OpenAI,hle_text,HLE Text,Reasoning,%,39.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.4 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.4, slug=gpt-5.4, provider=OpenAI" gpt-5.4,GPT-5.4,OpenAI,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),97.7,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 97.7. gpt-5.4,GPT-5.4,OpenAI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,95.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: gpt-5.4=95.8. gpt-5.4,GPT-5.4,OpenAI,imo_answerbench,IMO-AnswerBench,Math,,91.4,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 91.4. gpt-5.4,GPT-5.4,OpenAI,matharena_apex_2025,MathArena Apex 2025,Math,% correct,54.1,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 54.1. gpt-5.4,GPT-5.4,OpenAI,mathvision,MathVision,Math,% correct,92.0,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: gpt-5.4=92.0. gpt-5.4,GPT-5.4,OpenAI,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),70.6,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.5 blog table: 70.6. -gpt-5.4,GPT-5.4,OpenAI,mcpmark,MCPMark,Agentic,,62.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: gpt-5.4=62.5. +gpt-5.4,GPT-5.4,OpenAI,mcpmark,MCPMark,Agentic,% success (pass@1),62.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: gpt-5.4=62.5. gpt-5.4,GPT-5.4,OpenAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.5,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): gpt-5.4 (per their own canonical config) = 87.5. gpt-5.4,GPT-5.4,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,81.2,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.5 blog table: 81.2. gpt-5.4,GPT-5.4,OpenAI,nl2repo_bench,NL2Repo-Bench,Repository Code,%,41.3,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-5.1 blog: gpt-5.4=41.3. @@ -1781,7 +1781,7 @@ gpt-5.5,GPT-5.5,OpenAI,frontiermath_tier4,FrontierMath Tier 4,Math,%,35.4,https: gpt-5.5,GPT-5.5,OpenAI,gpqa_diamond,GPQA Diamond,Science,% correct,93.6,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.5 blog table: 93.6. gpt-5.5,GPT-5.5,OpenAI,gpqa_main,GPQA Main (full set),Science,,93.6,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.5 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.5, slug=gpt-5.5, provider=OpenAI" gpt-5.5,GPT-5.5,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,41.4,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (no-tools column)""}",OpenAI GPT-5.5 blog table: 41.4. -gpt-5.5,GPT-5.5,OpenAI,hle_text,HLE Text,Search Agent,%,57.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""pro""}","llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" +gpt-5.5,GPT-5.5,OpenAI,hle_text,HLE Text,Reasoning,%,57.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""pro""}","llm-stats.com row: model=GPT-5.5 Pro, slug=gpt-5.5-pro, provider=OpenAI" gpt-5.5,GPT-5.5,OpenAI,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),75.3,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5.5 blog table: 75.3. gpt-5.5,GPT-5.5,OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,81.2,https://openai.com/index/introducing-gpt-5-5/,official_blog,verified,True,"{""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5.5 blog table: 81.2. gpt-5.5,GPT-5.5,OpenAI,mrcr_v2_8needle,OpenAI MRCR v2 (8-needle),Long Context,%,74.0,https://llm-stats.com/benchmarks/mrcr-v2-(8-needle),third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.5 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=GPT-5.5, slug=gpt-5.5, provider=OpenAI" @@ -1799,7 +1799,7 @@ gpt-oss-120b,gpt-oss-120B,OpenAI,gpqa_diamond,GPQA Diamond,Science,% correct,80. gpt-oss-120b,gpt-oss-120B,OpenAI,gpqa_main,GPQA Main (full set),Science,,80.9,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""effort"": ""high""}","llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" gpt-oss-120b,gpt-oss-120B,OpenAI,healthbench,HealthBench,Knowledge,%,57.6,https://arxiv.org/abs/2508.10925,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""harmony"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools""}",gpt-oss model card Table 3 (high effort): HealthBench 57.6 gpt-oss-120b,gpt-oss-120B,OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,19.0,https://arxiv.org/abs/2508.10925,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""harmony"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools""}",gpt-oss model card Table 3 (high effort): HLE with-tools 19.0 -gpt-oss-120b,gpt-oss-120B,OpenAI,hle_text,HLE Text,Search Agent,%,14.9,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default (128K)"", ""effort"": ""high"", ""harness"": ""official (harmony chat format)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools (per-bench override; harmony chat format default)""}","llm-stats.com row: model=GPT OSS 120B, slug=gpt-oss-120b, provider=OpenAI" +gpt-oss-120b,gpt-oss-120B,OpenAI,hle_text,HLE Text,Reasoning,%,14.9,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default (128K)"", ""effort"": ""high"", ""harness"": ""official (harmony chat format)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools (per-bench override; harmony chat format default)""}","llm-stats.com row: model=GPT OSS 120B, slug=gpt-oss-120b, provider=OpenAI" gpt-oss-120b,gpt-oss-120B,OpenAI,ifbench,IFBench,Instruction Following,% correct,69.5,https://llm-stats.com/benchmarks/ifbench,third_party_aggregator,verified_third_party,False,"{""effort"": ""high""}","llm-stats.com row: model=GPT OSS 120B High, slug=gpt-oss-120b-high, provider=OpenAI" gpt-oss-120b,gpt-oss-120B,OpenAI,livecodebench,LiveCodeBench,Coding,pass@1 %,81.9,https://arxiv.org/abs/2508.10925,,dropped,,, gpt-oss-120b,gpt-oss-120B,OpenAI,mmmlu,MMMLU,Knowledge,% correct,81.3,https://arxiv.org/abs/2508.10925,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""harmony"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools""}",gpt-oss model card Table 3 (high effort): MMMLU Average 81.3 @@ -1822,7 +1822,7 @@ grok-3-beta,Grok 3 Beta,xAI,livecodebench,LiveCodeBench,Coding,pass@1 %,57.0,htt grok-3-beta,Grok 3 Beta,xAI,math_500,MATH-500,Math,% correct,99.2,https://artificialanalysis.ai/evaluations/math-500,third_party,verified,,,ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback) grok-3-beta,Grok 3 Beta,xAI,mmlu_pro,MMLU-Pro,Knowledge,% correct,79.9,https://x.ai/news/grok-3,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=79.9. grok-3-beta,Grok 3 Beta,xAI,mmmu,MMMU,Multimodal,% correct,73.2,https://x.ai/news/grok-3,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=73.2. -grok-3-beta,Grok 3 Beta,xAI,mt_aime_2024,MT-AIME2024,Math,,93.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per xAI Grok 3 blog: canonical = non-reasoning mode (the cross-model table without 'Think' label). Reasoning ON values not used."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Grok-3, slug=grok-3, provider=xAI" +grok-3-beta,Grok 3 Beta,xAI,mt_aime_2024,MT-AIME2024,Math,%,93.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per xAI Grok 3 blog: canonical = non-reasoning mode (the cross-model table without 'Think' label). Reasoning ON values not used."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Grok-3, slug=grok-3, provider=xAI" grok-3-beta,Grok 3 Beta,xAI,simpleqa,SimpleQA,Knowledge,% correct,43.6,https://x.ai/news/grok-3,official_blog,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",xAI Grok 3 blog (cross-model non-reasoning table): grok-3-beta=43.6. grok-3-beta,Grok 3 Beta,xAI,supergpqa,SuperGPQA,Science,%,62.8,https://arxiv.org/abs/2504.13914,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Seed-Thinking-v1.5 paper Table 2: grok-3-beta=62.8. grok-3-beta,Grok 3 Beta,xAI,swe_bench_verified,SWE-bench Verified,Coding,% resolved,48.5,https://artificialanalysis.ai/models/grok-3,third_party,verified,,,ArtificialAnalysis aggregator; used as fallback when no primary source available (R5d-aggregator-fallback) @@ -1840,7 +1840,7 @@ grok-4,Grok 4,xAI,frontiermath,FrontierMath,Math,% correct T1-3,13.0,https://epo grok-4,Grok 4,xAI,gpqa_diamond,GPQA Diamond,Science,% correct,87.5,https://x.ai/news/grok-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","xAI Grok 4 blog: grok-4=87.5 (no tools, no Heavy)." grok-4,Grok 4,xAI,gpqa_main,GPQA Main (full set),Science,,88.4,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""effort"": ""heavy""}","llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" grok-4,Grok 4,xAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,25.4,https://x.ai/news/grok-4,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","xAI Grok 4 blog: grok-4=25.4 (no tools, no Heavy)." -grok-4,Grok 4,xAI,hle_text,HLE Text,Search Agent,%,50.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""heavy""}","llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" +grok-4,Grok 4,xAI,hle_text,HLE Text,Reasoning,%,50.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""heavy""}","llm-stats.com row: model=Grok-4 Heavy, slug=grok-4-heavy, provider=xAI" grok-4,Grok 4,xAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,90.0,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: grok-4=90.0. grok-4,Grok 4,xAI,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,88.33,https://matharena.ai/?comp=hmmt--hmmt_nov_2025,leaderboard,verified,,, grok-4,Grok 4,xAI,imo_answerbench,IMO-AnswerBench,Math,,73.1,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: grok-4=73.1. @@ -1887,7 +1887,7 @@ kimi-k2,Kimi K2,Moonshot AI,gpqa_main,GPQA Main (full set),Science,,75.8,https:/ kimi-k2,Kimi K2,Moonshot AI,gsm8k,GSM8K,Math,% correct,97.3,https://llm-stats.com/benchmarks/gsm8k,third_party_aggregator,verified_third_party,False,"{""variant"": ""instruct (BP kimi-k2 is base)""}","llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" kimi-k2,Kimi K2,Moonshot AI,healthbench,HealthBench,Knowledge,%,43.8,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: kimi-k2=43.8. kimi-k2,Kimi K2,Moonshot AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,4.7,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: HLE 4.7 -kimi-k2,Kimi K2,Moonshot AI,hle_text,HLE Text,Search Agent,%,4.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""snapshot"": ""0905"", ""variant"": ""instruct""}","llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" +kimi-k2,Kimi K2,Moonshot AI,hle_text,HLE Text,Reasoning,%,4.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""snapshot"": ""0905"", ""variant"": ""instruct""}","llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" kimi-k2,Kimi K2,Moonshot AI,hmmt_feb_2025,HMMT Feb 2025,Math,%,38.8,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: kimi-k2=38.8. kimi-k2,Kimi K2,Moonshot AI,ifbench,IFBench,Instruction Following,% correct,42.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: kimi-k2=42. kimi-k2,Kimi K2,Moonshot AI,ifeval,IFEval,Instruction Following,% correct (prompt strict),89.8,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: IFEval Prompt Strict 89.8 @@ -1897,11 +1897,11 @@ kimi-k2,Kimi K2,Moonshot AI,livecodebench,LiveCodeBench,Coding,pass@1 %,53.7,htt kimi-k2,Kimi K2,Moonshot AI,math,MATH,Math,,89.1,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default (256K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column. Non-thinking model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2 0905, slug=kimi-k2-0905, provider=Moonshot AI" kimi-k2,Kimi K2,Moonshot AI,math_500,MATH-500,Math,% correct,97.4,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MATH-500 97.4 kimi-k2,Kimi K2,Moonshot AI,mmlu_pro,MMLU-Pro,Knowledge,% correct,81.1,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: MMLU-Pro EM 81.1 [R5d: prior unverified value 87.1 from https://huggingface.co/moonshotai/Kimi-K2.5 deleted.] -kimi-k2,Kimi K2,Moonshot AI,mt_aime_2024,MT-AIME2024,Math,,72.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default (256K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column. Non-thinking model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2 0905, slug=kimi-k2-0905, provider=Moonshot AI" -kimi-k2,Kimi K2,Moonshot AI,multi_swe_bench,Multi-SWE-bench,Coding,,33.5,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: kimi-k2=33.5. +kimi-k2,Kimi K2,Moonshot AI,mt_aime_2024,MT-AIME2024,Math,%,72.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default (256K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column. Non-thinking model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2 0905, slug=kimi-k2-0905, provider=Moonshot AI" +kimi-k2,Kimi K2,Moonshot AI,multi_swe_bench,Multi-SWE-bench,Coding,%,33.5,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: kimi-k2=33.5. kimi-k2,Kimi K2,Moonshot AI,multichallenge,MultiChallenge,Instruction Following,%,54.1,https://llm-stats.com/benchmarks/multichallenge,third_party_aggregator,verified_third_party,False,"{""snapshot"": ""0905"", ""variant"": ""instruct""}","llm-stats.com row: model=Kimi K2-Instruct-0905, slug=kimi-k2-instruct-0905, provider=Moonshot AI" kimi-k2,Kimi K2,Moonshot AI,multipl_e_avg,MultiPL-E (average),Coding,%,85.7,https://llm-stats.com/benchmarks/multipl-e,third_party_aggregator,verified_third_party,False,"{""variant"": ""instruct (BP kimi-k2 is base)""}","llm-stats.com row: model=Kimi K2 Instruct, slug=kimi-k2-instruct, provider=Moonshot AI" -kimi-k2,Kimi K2,Moonshot AI,ojbench,OJBench,Coding,,25.5,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: kimi-k2=25.5. +kimi-k2,Kimi K2,Moonshot AI,ojbench,OJBench,Coding,%,25.5,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: kimi-k2=25.5. kimi-k2,Kimi K2,Moonshot AI,scicode,SciCode,Coding,% correct,30.7,https://huggingface.co/moonshotai/Kimi-K2-Thinking,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2-Thinking model card: kimi-k2=30.7. kimi-k2,Kimi K2,Moonshot AI,simpleqa,SimpleQA,Knowledge,% correct,31.0,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SimpleQA Correct 31.0 kimi-k2,Kimi K2,Moonshot AI,supergpqa,SuperGPQA,Science,%,57.2,https://arxiv.org/abs/2507.20534,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column: SuperGPQA Acc 57.2 @@ -1919,12 +1919,12 @@ kimi-k2.5,Kimi K2.5,Moonshot AI,aime_2025,AIME 2025,Math,% correct (pass@1),96.1 kimi-k2.5,Kimi K2.5,Moonshot AI,aime_2026,AIME 2026,Math,% correct (pass@1),94.5,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: kimi-k2.5=94.5. kimi-k2.5,Kimi K2.5,Moonshot AI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,65.3,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""default"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: Kimi K2.5 on leaderboard kimi-k2.5,Kimi K2.5,Moonshot AI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,11.8,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""default"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: Kimi K2.5 on leaderboard -kimi-k2.5,Kimi K2.5,Moonshot AI,babyvision,BabyVision,Multimodal,,36.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: kimi-k2.5=36.5. +kimi-k2.5,Kimi K2.5,Moonshot AI,babyvision,BabyVision,Multimodal,% accuracy,36.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: kimi-k2.5=36.5. kimi-k2.5,Kimi K2.5,Moonshot AI,browsecomp,BrowseComp,Agentic,% correct,60.6,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: BrowseComp w/ tools 60.6 kimi-k2.5,Kimi K2.5,Moonshot AI,browsecomp_zh,BrowseComp-ZH,Agentic search,,62.3,https://z.ai/blog/glm-5,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5 blog: kimi-k2.5=62.3. kimi-k2.5,Kimi K2.5,Moonshot AI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),98.33,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""thinking:default""", kimi-k2.5,Kimi K2.5,Moonshot AI,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,47.27,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""", -kimi-k2.5,Kimi K2.5,Moonshot AI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),77.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: CharXiv RQ 77.5 +kimi-k2.5,Kimi K2.5,Moonshot AI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,77.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: CharXiv RQ 77.5 kimi-k2.5,Kimi K2.5,Moonshot AI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),91.25,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""thinking:default""", kimi-k2.5,Kimi K2.5,Moonshot AI,cybergym,CyberGym,Agentic,% solved,41.3,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: CyberGym 41.3 kimi-k2.5,Kimi K2.5,Moonshot AI,deepsearchqa_acc,DeepSearchQA (Accuracy),Search Agent,%,77.1,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.5=77.1. @@ -1932,7 +1932,7 @@ kimi-k2.5,Kimi K2.5,Moonshot AI,global_piqa,Global PIQA,Reasoning,,89.3,https:// kimi-k2.5,Kimi K2.5,Moonshot AI,gpqa_diamond,GPQA Diamond,Science,% correct,87.6,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: GPQA-Diamond 87.6 kimi-k2.5,Kimi K2.5,Moonshot AI,gpqa_main,GPQA Main (full set),Science,,87.6,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""256K"", ""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.5, slug=kimi-k2.5, provider=Moonshot AI" kimi-k2.5,Kimi K2.5,Moonshot AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,30.1,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: HLE Full no-tools 30.1 -kimi-k2.5,Kimi K2.5,Moonshot AI,hle_text,HLE Text,Search Agent,%,50.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""256K"", ""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.5, slug=kimi-k2.5, provider=Moonshot AI" +kimi-k2.5,Kimi K2.5,Moonshot AI,hle_text,HLE Text,Reasoning,%,50.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""256K"", ""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.5, slug=kimi-k2.5, provider=Moonshot AI" kimi-k2.5,Kimi K2.5,Moonshot AI,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),50.2,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"""thinking mode, tool-augmented, pass@1""","First-party, directly from Kimi K2.5 HF model card evaluation table." kimi-k2.5,Kimi K2.5,Moonshot AI,hmmt_feb_2025,HMMT Feb 2025,Math,%,95.4,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: kimi-k2.5=95.4. kimi-k2.5,Kimi K2.5,Moonshot AI,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),81.3,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: kimi-k2.5=81.3. @@ -1945,14 +1945,14 @@ kimi-k2.5,Kimi K2.5,Moonshot AI,longbench_v2,LongBench-V2,Long Context,%,61.0,ht kimi-k2.5,Kimi K2.5,Moonshot AI,matharena_apex_2025,MathArena Apex 2025,Math,% correct,8.85,https://matharena.ai/?comp=apex--apex_2025,leaderboard,verified,True,"""thinking:default""", kimi-k2.5,Kimi K2.5,Moonshot AI,mathvision,MathVision,Math,% correct,84.2,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MathVision 84.2 kimi-k2.5,Kimi K2.5,Moonshot AI,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),63.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5.1 blog: kimi-k2.5=63.8. -kimi-k2.5,Kimi K2.5,Moonshot AI,mcpmark,MCPMark,Agentic,,29.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.5=29.5. +kimi-k2.5,Kimi K2.5,Moonshot AI,mcpmark,MCPMark,Agentic,% success (pass@1),29.5,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.5=29.5. kimi-k2.5,Kimi K2.5,Moonshot AI,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.1,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MMLU-Pro 87.1 kimi-k2.5,Kimi K2.5,Moonshot AI,mmmlu,MMMLU,Knowledge,% correct,86.0,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmlu 86.0 (3rd-party Qwen self-test)." kimi-k2.5,Kimi K2.5,Moonshot AI,mmmu,MMMU,Multimodal,% correct,84.3,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): mmmu 84.3 (3rd-party Qwen self-test). [R5d: prior unverified value 84.0 from https://www.kimi.com/blog/kimi-k2-5.html deleted.]" kimi-k2.5,Kimi K2.5,Moonshot AI,mmmu_pro,MMMU-Pro,Multimodal,% correct,78.5,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: MMMU-Pro 78.5 kimi-k2.5,Kimi K2.5,Moonshot AI,multichallenge,MultiChallenge,Instruction Following,%,62.7,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,False,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.5-397B-A17B HF model card cross-model table (Qwen self-test of 3rd-party model, mc=false): multichallenge 62.7 (3rd-party Qwen self-test)." kimi-k2.5,Kimi K2.5,Moonshot AI,nl2repo_bench,NL2Repo-Bench,Repository Code,%,32.0,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",GLM-5.1 blog: kimi-k2.5=32.0. -kimi-k2.5,Kimi K2.5,Moonshot AI,ojbench,OJBench,Coding,,57.4,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: OJBench cpp 57.4 +kimi-k2.5,Kimi K2.5,Moonshot AI,ojbench,OJBench,Coding,%,57.4,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: OJBench cpp 57.4 kimi-k2.5,Kimi K2.5,Moonshot AI,omnidocbench,"OmniDocBench (normalized edit distance, lower is better)",Vision,edit distance (lower=better),0.112,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: OmniDocBench 1.5 (1 - normalized Levenshtein) ×100 = 88.8 [Converted 88.8% (1-LED higher-better) → 0.112 (edit distance lower-better) for cross-source consistency] kimi-k2.5,Kimi K2.5,Moonshot AI,omnidocbench_1.5,OmniDocBench 1.5,Vision,edit distance (lower=better),0.112,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.5 model card: kimi-k2.5=88.8. [Converted 88.8% (1-LED higher-better) → 0.112 (edit distance lower-better) for cross-source consistency] kimi-k2.5,Kimi K2.5,Moonshot AI,osworld,OSWorld,Agentic,% success,63.3,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.5=63.3. @@ -1970,26 +1970,26 @@ kimi-k2.5,Kimi K2.5,Moonshot AI,video_mme,Video-MME,Multimodal,,87.4,https://hug kimi-k2.5,Kimi K2.5,Moonshot AI,video_mmmu,Video-MMMU,Video/Multimodal,%,86.6,https://huggingface.co/moonshotai/Kimi-K2.5,model_card,verified,True,"{""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.5 model card (HF moonshotai/Kimi-K2.5) Evaluation table: Video-MMMU 86.6 kimi-k2.5,Kimi K2.5,Moonshot AI,widesearch,WideSearch (item-F1),Search Agent,%,72.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.5=72.7. kimi-k2.6,Kimi K2.6,Moonshot AI,aime_2026,AIME 2026,Math,% correct (pass@1),96.4,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: AIME 2026 96.4 -kimi-k2.6,Kimi K2.6,Moonshot AI,babyvision,BabyVision,Multimodal,,39.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: BabyVision 39.8 +kimi-k2.6,Kimi K2.6,Moonshot AI,babyvision,BabyVision,Multimodal,% accuracy,39.8,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: BabyVision 39.8 kimi-k2.6,Kimi K2.6,Moonshot AI,browsecomp,BrowseComp,Agentic,% correct,83.2,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 83.2. -kimi-k2.6,Kimi K2.6,Moonshot AI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),80.4,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: CharXiv RQ 80.4 +kimi-k2.6,Kimi K2.6,Moonshot AI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,80.4,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: CharXiv RQ 80.4 kimi-k2.6,Kimi K2.6,Moonshot AI,chinese_simpleqa,Chinese-SimpleQA,Knowledge,%,75.9,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 75.9. kimi-k2.6,Kimi K2.6,Moonshot AI,deepsearchqa_acc,DeepSearchQA (Accuracy),Search Agent,%,83.0,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.6=83.0. kimi-k2.6,Kimi K2.6,Moonshot AI,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1482.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 1482. kimi-k2.6,Kimi K2.6,Moonshot AI,gpqa_diamond,GPQA Diamond,Science,% correct,90.5,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 90.5. kimi-k2.6,Kimi K2.6,Moonshot AI,gpqa_main,GPQA Main (full set),Science,,90.5,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""262144 (256K)"", ""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.6 model card (HF moonshotai/Kimi-K2.6). Thinking mode, max effort, t=1.0 top_p=1.0."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.6, slug=kimi-k2.6, provider=Moonshot AI" kimi-k2.6,Kimi K2.6,Moonshot AI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,36.4,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 36.4. -kimi-k2.6,Kimi K2.6,Moonshot AI,hle_text,HLE Text,Search Agent,%,36.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""262144 (256K)"", ""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.6 model card (HF moonshotai/Kimi-K2.6). Thinking mode, max effort, t=1.0 top_p=1.0."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.6, slug=kimi-k2.6, provider=Moonshot AI" +kimi-k2.6,Kimi K2.6,Moonshot AI,hle_text,HLE Text,Reasoning,%,36.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""262144 (256K)"", ""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.6 model card (HF moonshotai/Kimi-K2.6). Thinking mode, max effort, t=1.0 top_p=1.0."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=Kimi K2.6, slug=kimi-k2.6, provider=Moonshot AI" kimi-k2.6,Kimi K2.6,Moonshot AI,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),92.7,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: HMMT 2026 Feb 92.7 kimi-k2.6,Kimi K2.6,Moonshot AI,imo_answerbench,IMO-AnswerBench,Math,,86.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 86.0. kimi-k2.6,Kimi K2.6,Moonshot AI,livecodebench,LiveCodeBench,Coding,pass@1 %,89.6,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 89.6. kimi-k2.6,Kimi K2.6,Moonshot AI,matharena_apex_2025,MathArena Apex 2025,Math,% correct,24.0,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 24.0. kimi-k2.6,Kimi K2.6,Moonshot AI,mathvision,MathVision,Math,% correct,87.4,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MathVision 87.4 kimi-k2.6,Kimi K2.6,Moonshot AI,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),66.6,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 66.6. -kimi-k2.6,Kimi K2.6,Moonshot AI,mcpmark,MCPMark,Agentic,,55.9,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MCPMark 55.9 +kimi-k2.6,Kimi K2.6,Moonshot AI,mcpmark,MCPMark,Agentic,% success (pass@1),55.9,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MCPMark 55.9 kimi-k2.6,Kimi K2.6,Moonshot AI,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.1,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 87.1. kimi-k2.6,Kimi K2.6,Moonshot AI,mmmu_pro,MMMU-Pro,Multimodal,% correct,79.4,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: MMMU-Pro 79.4 -kimi-k2.6,Kimi K2.6,Moonshot AI,ojbench,OJBench,Coding,,60.6,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: kimi-k2.6=60.6. +kimi-k2.6,Kimi K2.6,Moonshot AI,ojbench,OJBench,Coding,%,60.6,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none""}",Kimi K2.6 model card: kimi-k2.6=60.6. kimi-k2.6,Kimi K2.6,Moonshot AI,osworld,OSWorld,Agentic,% success,73.1,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",Kimi K2.6 model card: kimi-k2.6=73.1. kimi-k2.6,Kimi K2.6,Moonshot AI,scicode,SciCode,Coding,% correct,52.2,https://huggingface.co/moonshotai/Kimi-K2.6,model_card,verified,True,"{""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",Kimi K2.6 model card (HF moonshotai/Kimi-K2.6) Evaluation table: SciCode 52.2 kimi-k2.6,Kimi K2.6,Moonshot AI,simpleqa_verified,SimpleQA-Verified,Knowledge,% correct (pass@1),36.9,https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro,model_card,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V4-Pro model card (third-party): kimi-k2.6 (per their own canonical config) = 36.9. @@ -2009,7 +2009,7 @@ llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,chinese_simpleqa,Chinese-Si llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,cluewsc,CLUEWSC,Chinese,%,84.7,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=84.7. llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,cnmo_2024,CNMO 2024,Math,%,6.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=6.8. llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,drop,DROP,Reasoning,%,88.7,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=88.7. -llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,frames,Frames,Agentic search,,70.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=70.0. +llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,frames,Frames,Agentic search,%,70.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=70.0. llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,gpqa_diamond,GPQA Diamond,Science,% correct,51.1,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: llama-3.1-405b-instruct=51.1. llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,gpqa_main,GPQA Main (full set),Science,,49.0,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (llama-3.1-405b-instruct column): gpqa=49.0. Third-party Cohere reproduction, mc=false." llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,gsm8k,GSM8K,Math,% correct,96.8,https://llm-stats.com/benchmarks/gsm8k,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Llama 3.1 405B Instruct, slug=llama-3.1-405b-instruct, provider=Meta" @@ -2076,7 +2076,7 @@ llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,livecodebench,LiveCodeBench,C llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,math,MATH,Math,,71.8,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): math=71.8. Third-party Allen AI self-test, mc=false." llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,math_500,MATH-500,Math,% correct,66.31,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): math_500=66.31. Third-party Microsoft self-test, mc=false." llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,mbpp_plus,MBPP+,Coding,,84.4,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (llama-3.3-70b-instruct column): mbpp_plus=84.4. Third-party Cohere reproduction, mc=false." -llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,mgsm,MGSM,Math,%,89.1,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mgsm=89.1. Third-party Microsoft self-test, mc=false." +llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,mgsm,MGSM,Math,exact match (%),89.1,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mgsm=89.1. Third-party Microsoft self-test, mc=false." llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,mmlu_pro,MMLU-Pro,Knowledge,% correct,64.4,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (llama-3.3-70b-instruct column): mmlu_pro=64.4. Third-party Microsoft self-test, mc=false." llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,popqa,PopQA,QA,,48.2,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (llama-3.3-70b-instruct column): popqa=48.2. Third-party Allen AI self-test, mc=false." llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,repoqa,RepoQA,Coding,,85.6,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (llama-3.3-70b-instruct column): repoqa=85.6. Third-party Cohere reproduction, mc=false." @@ -2099,7 +2099,7 @@ llama-4-maverick,Llama 4 Maverick,Meta,livecodebench,LiveCodeBench,Coding,pass@1 llama-4-maverick,Llama 4 Maverick,Meta,math,MATH,Math,,61.2,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}","llm-stats.com row: model=Llama 4 Maverick, slug=llama-4-maverick, provider=Meta" llama-4-maverick,Llama 4 Maverick,Meta,math_500,MATH-500,Math,% correct,90.0,https://mistral.ai/news/mistral-medium-3,official_blog,verified,False,"{""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""0-shot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",Mistral Medium 3 blog table: 90.0. Third-party self-test by Mistral (their internal eval pipeline). llama-4-maverick,Llama 4 Maverick,Meta,mathvista,MathVista,Math/Vision,%,73.7,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}","llm-stats.com row: model=Llama 4 Maverick, slug=llama-4-maverick, provider=Meta" -llama-4-maverick,Llama 4 Maverick,Meta,mgsm,MGSM,Math,%,92.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}","llm-stats.com row: model=Llama 4 Maverick, slug=llama-4-maverick, provider=Meta" +llama-4-maverick,Llama 4 Maverick,Meta,mgsm,MGSM,Math,exact match (%),92.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}","llm-stats.com row: model=Llama 4 Maverick, slug=llama-4-maverick, provider=Meta" llama-4-maverick,Llama 4 Maverick,Meta,mmlu_pro,MMLU-Pro,Knowledge,% correct,80.5,https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct,model_card,verified,True,"{""harness"": ""official-meta"", ""judge"": ""rule-based"", ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0""}",Instruction-tuned 0-shot MMLU-Pro per HF/GitHub model card and Meta blog comparison table. llama-4-maverick,Llama 4 Maverick,Meta,mmmu,MMMU,Multimodal,% correct,73.4,https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct,model_card,verified,True,"{""harness"": ""official-meta"", ""judge"": ""rule-based"", ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0""}",Instruction-tuned MMMU per HF/GitHub model card and Meta blog comparison table. llama-4-maverick,Llama 4 Maverick,Meta,mmmu_pro,MMMU-Pro,Multimodal,% correct,59.6,https://llm-stats.com/benchmarks/mmmu-pro,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}","llm-stats.com row: model=Llama 4 Maverick, slug=llama-4-maverick, provider=Meta" @@ -2118,13 +2118,13 @@ minimax-m2,MiniMax-M2,MiniMax,gaia,GAIA (text only),Agentic,%,75.7,https://huggi minimax-m2,MiniMax-M2,MiniMax,gpqa_diamond,GPQA Diamond,Science,% correct,77.7,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: minimax-m2=77.7. minimax-m2,MiniMax-M2,MiniMax,gpqa_main,GPQA Main (full set),Science,,78.0,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2, slug=minimax-m2, provider=MiniMax" minimax-m2,MiniMax-M2,MiniMax,hle,HLE (Humanity's Last Exam),Reasoning,% correct,12.5,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: minimax-m2=12.5. -minimax-m2,MiniMax-M2,MiniMax,hle_text,HLE Text,Search Agent,%,12.5,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2, slug=minimax-m2, provider=MiniMax" +minimax-m2,MiniMax-M2,MiniMax,hle_text,HLE Text,Reasoning,%,12.5,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2, slug=minimax-m2, provider=MiniMax" minimax-m2,MiniMax-M2,MiniMax,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),31.8,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""WebExplorer agent framework"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""search + python (text-only HLE subset)""}","MiniMax M2 model card Table 1: HLE (w/ tools)=31.8. Uses search tools + Python tool (Jupyter), text-only HLE subset." minimax-m2,MiniMax-M2,MiniMax,ifbench,IFBench,Instruction Following,% correct,72.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: minimax-m2=72. minimax-m2,MiniMax-M2,MiniMax,livecodebench,LiveCodeBench,Coding,pass@1 %,83.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: minimax-m2=83.0. -minimax-m2,MiniMax-M2,MiniMax,mcpmark,MCPMark,Agentic,,24.4,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: MiniMax-M2=24.4. DS uses internal MCP environment. Third-party self-test. +minimax-m2,MiniMax-M2,MiniMax,mcpmark,MCPMark,Agentic,% success (pass@1),24.4,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,False,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""agentic""}",DS V3.2 tech report Table 2: MiniMax-M2=24.4. DS uses internal MCP environment. Third-party self-test. minimax-m2,MiniMax-M2,MiniMax,mmlu_pro,MMLU-Pro,Knowledge,% correct,82.0,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3.2 tech report Table 2: minimax-m2=82.0. -minimax-m2,MiniMax-M2,MiniMax,multi_swe_bench,Multi-SWE-bench,Coding,,36.2,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: minimax-m2=36.2. +minimax-m2,MiniMax-M2,MiniMax,multi_swe_bench,Multi-SWE-bench,Coding,%,36.2,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",MiniMax M2 model card: minimax-m2=36.2. minimax-m2,MiniMax-M2,MiniMax,scicode,SciCode,Coding,% correct,36.0,https://huggingface.co/MiniMaxAI/MiniMax-M2,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2 model card: minimax-m2=36. minimax-m2,MiniMax-M2,MiniMax,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,56.5,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",DeepSeek V3.2 tech report Table 2: minimax-m2=56.5. minimax-m2,MiniMax-M2,MiniMax,swe_bench_verified,SWE-bench Verified,Coding,% resolved,69.4,https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf,tech_report,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",DeepSeek V3.2 tech report Table 2: minimax-m2=69.4. @@ -2140,11 +2140,11 @@ minimax-m2.1,MiniMax M2.1,MiniMax,browsecomp,BrowseComp,Agentic,% correct,62.0,h minimax-m2.1,MiniMax M2.1,MiniMax,gpqa_diamond,GPQA Diamond,Science,% correct,83.0,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: minimax-m2.1=83.0. minimax-m2.1,MiniMax M2.1,MiniMax,gpqa_main,GPQA Main (full set),Science,,81.0,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" minimax-m2.1,MiniMax M2.1,MiniMax,hle,HLE (Humanity's Last Exam),Reasoning,% correct,22.2,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: minimax-m2.1=22.2. -minimax-m2.1,MiniMax M2.1,MiniMax,hle_text,HLE Text,Search Agent,%,22.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" +minimax-m2.1,MiniMax M2.1,MiniMax,hle_text,HLE Text,Reasoning,%,22.0,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" minimax-m2.1,MiniMax M2.1,MiniMax,ifbench,IFBench,Instruction Following,% correct,70.0,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: minimax-m2.1=70.0. minimax-m2.1,MiniMax M2.1,MiniMax,livecodebench,LiveCodeBench,Coding,pass@1 %,78.0,https://llm-stats.com/benchmarks/livecodebench,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" minimax-m2.1,MiniMax M2.1,MiniMax,mmlu_pro,MMLU-Pro,Knowledge,% correct,88.0,https://llm-stats.com/benchmarks/mmlu-pro,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" -minimax-m2.1,MiniMax M2.1,MiniMax,multi_swe_bench,Multi-SWE-bench,Coding,,49.4,https://llm-stats.com/benchmarks/multi-swe-bench,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" +minimax-m2.1,MiniMax M2.1,MiniMax,multi_swe_bench,Multi-SWE-bench,Coding,%,49.4,https://llm-stats.com/benchmarks/multi-swe-bench,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" minimax-m2.1,MiniMax M2.1,MiniMax,scicode,SciCode,Coding,% correct,41.0,https://huggingface.co/MiniMaxAI/MiniMax-M2.5,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",MiniMax M2.5 model card: minimax-m2.1=41.0. minimax-m2.1,MiniMax M2.1,MiniMax,swe_bench_multilingual,SWE-bench Multilingual,Coding,% resolved,72.5,https://llm-stats.com/benchmarks/swe-bench-multilingual,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" minimax-m2.1,MiniMax M2.1,MiniMax,swe_bench_verified,SWE-bench Verified,Coding,% resolved,67.0,https://llm-stats.com/benchmarks/swe-bench-verified,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}","llm-stats.com row: model=MiniMax M2.1, slug=minimax-m2.1, provider=MiniMax" @@ -2167,19 +2167,19 @@ ministral-8b,Ministral 8B Instruct 2410,Mistral,livecodebench,LiveCodeBench,Codi ministral-8b,Ministral 8B Instruct 2410,Mistral,math,MATH,Math,,40.0,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (ministral-8b column): math=40.0. Third-party Allen AI self-test, mc=false." ministral-8b,Ministral 8B Instruct 2410,Mistral,mbpp_plus,MBPP+,Coding,,61.1,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (ministral-8b column): mbpp_plus=61.1. Third-party Cohere reproduction, mc=false." ministral-8b,Ministral 8B Instruct 2410,Mistral,mmlu_pro,MMLU-Pro,Knowledge,% correct,43.0,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (ministral-8b column): mmlu_pro=43.0. Third-party Cohere reproduction, mc=false." -ministral-8b,Ministral 8B Instruct 2410,Mistral,mt_aime_2024,MT-AIME2024,Math,,86.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Ministral 3 (8B Reasoning 2512), slug=ministral-8b-latest, provider=Mistral AI" +ministral-8b,Ministral 8B Instruct 2410,Mistral,mt_aime_2024,MT-AIME2024,Math,%,86.0,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Ministral 3 (8B Reasoning 2512), slug=ministral-8b-latest, provider=Mistral AI" ministral-8b,Ministral 8B Instruct 2410,Mistral,popqa,PopQA,QA,,20.2,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (ministral-8b column): popqa=20.2. Third-party Allen AI self-test, mc=false." ministral-8b,Ministral 8B Instruct 2410,Mistral,repoqa,RepoQA,Coding,,62.0,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (ministral-8b column): repoqa=62.0. Third-party Cohere reproduction, mc=false." ministral-8b,Ministral 8B Instruct 2410,Mistral,safety,Safety (OLMES suite),Safety,,56.2,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (ministral-8b column): safety=56.2. Third-party Allen AI self-test, mc=false." ministral-8b,Ministral 8B Instruct 2410,Mistral,truthfulqa,TruthfulQA,Factuality,,55.5,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (ministral-8b column): truthfulqa=55.5. Third-party Allen AI self-test, mc=false." muse-spark,Muse Spark,Meta,arc_agi_2,ARC-AGI-2,Reasoning,% correct,42.5,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,False,"{""effort"": ""default"", ""harness"": ""kaggle/arc-agi2"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""pass@2 to match competition setup; 120-prompt public set"", ""prompt_style"": ""default"", ""sampling"": ""pass@2"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog: ARC-AGI-2 42.5, Thinking mode. 120 public-set prompts, pass@2. matches_canonical=false: canonical may be pass@1." -muse-spark,Muse Spark,Meta,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),86.4,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog main table: CharXiv Reasoning 86.4, Thinking mode." +muse-spark,Muse Spark,Meta,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,86.4,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog main table: CharXiv Reasoning 86.4, Thinking mode." muse-spark,Muse Spark,Meta,erqa,ERQA,Vision,%,64.7,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog main table: ERQA 64.7, Thinking mode. 925 questions with GPT-4.1-genai judge." muse-spark,Muse Spark,Meta,gdpval_aa_elo,GDPval (Artificial Analysis ELO),Knowledge,score,1444.0,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""Artificial Analysis GDPval-AA Leaderboard"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Results from Artificial Analysis GDPval-AA leaderboard per Meta methodology"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none""}",Meta MSL blog: GDPval-AA Elo 1444. Sourced from Artificial Analysis leaderboard. muse-spark,Muse Spark,Meta,gpqa_diamond,GPQA Diamond,Science,% correct,89.5,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""avg of 4 runs"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog: GPQA Diamond 89.5, Thinking mode. Averaged over 4 runs." muse-spark,Muse Spark,Meta,gpqa_main,GPQA Main (full set),Science,,89.5,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based or gpt-oss-120b (per benchmark)"", ""mode"": ""thinking"", ""notes"": ""Per Meta MSL blog https://ai.meta.com/blog/introducing-muse-spark-msl/. Standard Thinking mode. Contemplating mode results flagged for review."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none (per-benchmark override where tools are required)""}","llm-stats.com row: model=Muse Spark, slug=muse-spark, provider=Meta" muse-spark,Muse Spark,Meta,hle,HLE (Humanity's Last Exam),Reasoning,% correct,42.8,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""gpt-o3-mini (LLM-as-judge)"", ""mode"": ""thinking"", ""notes"": ""No-tools variant. Full 2,500-question HLE dataset."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog: HLE (No Tools) 42.8, Thinking mode." -muse-spark,Muse Spark,Meta,hle_text,HLE Text,Search Agent,%,58.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based or gpt-oss-120b (per benchmark)"", ""mode"": ""thinking"", ""notes"": ""Per Meta MSL blog https://ai.meta.com/blog/introducing-muse-spark-msl/. Standard Thinking mode. Contemplating mode results flagged for review."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none (per-benchmark override where tools are required)""}","llm-stats.com row: model=Muse Spark, slug=muse-spark, provider=Meta" +muse-spark,Muse Spark,Meta,hle_text,HLE Text,Reasoning,%,58.4,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based or gpt-oss-120b (per benchmark)"", ""mode"": ""thinking"", ""notes"": ""Per Meta MSL blog https://ai.meta.com/blog/introducing-muse-spark-msl/. Standard Thinking mode. Contemplating mode results flagged for review."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none (per-benchmark override where tools are required)""}","llm-stats.com row: model=Muse Spark, slug=muse-spark, provider=Meta" muse-spark,Muse Spark,Meta,hle_tools,HLE (w/ tools),Reasoning & Knowledge,accuracy (%),50.4,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""gpt-o3-mini (LLM-as-judge)"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""bash + browser (blocklist: hf.co, kaggle, pwc, lmsys)""}","Meta MSL blog: HLE (With Tools) 50.4, Thinking mode. Bash and browser tools enabled per methodology." muse-spark,Muse Spark,Meta,mmmu_pro,MMMU-Pro,Multimodal,% correct,80.4,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 4 runs)"", ""temperature"": ""default"", ""tools"": ""none""}","Meta MSL blog main table: MMMU Pro 80.4, Thinking mode. Avg 4 runs." muse-spark,Muse Spark,Meta,screenspot_pro,ScreenSpot-Pro,Multimodal,,84.1,https://ai.meta.com/blog/introducing-muse-spark-msl/,official_blog,verified,False,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""with-Python variant per methodology; canonical BP is no-tools"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""python (cropping tool)""}",Meta MSL blog: ScreenSpot Pro 84.1 with Python cropping tool. matches_canonical=false: canonical uses no tools. @@ -2191,8 +2191,8 @@ o1-high,OpenAI o1 (high),OpenAI,aider_polyglot_diff,Aider Polyglot (diff mode),C o1-high,OpenAI o1 (high),OpenAI,aider_polyglot_whole,Aider Polyglot (whole mode),Coding,%,64.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (bash + edit)""}",OpenAI GPT-4.1 blog: o1-high=64.6. o1-high,OpenAI o1 (high),OpenAI,aime_2024,AIME 2024,Math,% correct (pass@1),74.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=74.3. o1-high,OpenAI o1 (high),OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),71.4,https://arxiv.org/abs/2504.21318,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4-reasoning paper Table 1 (o1-high column): aime_2025=71.4 -o1-high,OpenAI o1 (high),OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,%,88.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=88.9. -o1-high,OpenAI o1 (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),55.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=55.1. +o1-high,OpenAI o1 (high),OpenAI,charxiv_descriptive,CharXiv Descriptive,Vision,% accuracy,88.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=88.9. +o1-high,OpenAI o1 (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,55.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=55.1. o1-high,OpenAI o1 (high),OpenAI,codeforces_rating,Codeforces Rating,Coding,Elo rating,1891.0,https://arxiv.org/abs/2504.21318,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4-reasoning paper Table 1 (o1-high column): codeforces_rating=1891 o1-high,OpenAI o1 (high),OpenAI,collie,COLLIE,Instruction Following,%,95.3,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=95.3. o1-high,OpenAI o1 (high),OpenAI,complexfuncbench,ComplexFuncBench,Tool Use,%,47.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic (function calling)""}",OpenAI GPT-4.1 blog: o1-high=47.6. @@ -2211,11 +2211,11 @@ o1-high,OpenAI o1 (high),OpenAI,livebench,LiveBench,Composite,overall score,67.0 o1-high,OpenAI o1 (high),OpenAI,livecodebench,LiveCodeBench,Coding,pass@1 %,63.4,https://arxiv.org/abs/2504.21318,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4-reasoning paper Table 1 (o1-high column): livecodebench=63.4 o1-high,OpenAI o1 (high),OpenAI,math,MATH,Math,,96.4,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o1 base, not high)""}","llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" o1-high,OpenAI o1 (high),OpenAI,mathvista,MathVista,Math/Vision,%,71.8,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=71.8. -o1-high,OpenAI o1 (high),OpenAI,mgsm,MGSM,Math,%,89.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o1 base, not high)""}","llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" +o1-high,OpenAI o1 (high),OpenAI,mgsm,MGSM,Math,exact match (%),89.3,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o1 base, not high)""}","llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" o1-high,OpenAI o1 (high),OpenAI,mmmlu,MMMLU,Knowledge,% correct,87.7,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=87.7. o1-high,OpenAI o1 (high),OpenAI,mmmu,MMMU,Multimodal,% correct,77.6,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=77.6. o1-high,OpenAI o1 (high),OpenAI,mrcr_v2_2needle_128k,"OpenAI MRCR v2 (2 needle, 128k)",Long Context,%,22.1,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=22.1. -o1-high,OpenAI o1 (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,,74.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o1 base, not high)""}","llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" +o1-high,OpenAI o1 (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,%,74.3,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o1 base, not high)""}","llm-stats.com row: model=o1, slug=o1-2024-12-17, provider=OpenAI" o1-high,OpenAI o1 (high),OpenAI,multi_if,Multi-IF,Instruction Following,%,77.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=77.9. o1-high,OpenAI o1 (high),OpenAI,multichallenge,MultiChallenge,Instruction Following,%,44.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=44.9. o1-high,OpenAI o1 (high),OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,52.9,https://openai.com/index/gpt-4-1/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-4.1 blog: o1-high=52.9. @@ -2229,9 +2229,9 @@ o3-high,o3 (high),OpenAI,aider_polyglot_whole,Aider Polyglot (whole mode),Coding o3-high,o3 (high),OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),88.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=88.9 (high reasoning effort). o3-high,o3 (high),OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,60.8,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: o3 (High) on leaderboard o3-high,o3 (high),OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,6.5,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: o3 (High) on leaderboard -o3-high,o3 (high),OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,88.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: o3-high=88.3 (high reasoning effort). +o3-high,o3 (high),OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,88.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: o3-high=88.3 (high reasoning effort). o3-high,o3 (high),OpenAI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),95.83,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""reasoning_effort:high""", -o3-high,o3 (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),78.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: o3-high=78.6 (high reasoning effort). +o3-high,o3 (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,78.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: o3-high=78.6 (high reasoning effort). o3-high,o3 (high),OpenAI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),79.38,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""reasoning_effort:high""", o3-high,o3 (high),OpenAI,collie,COLLIE,Instruction Following,%,98.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=98.4 (high reasoning effort). o3-high,o3 (high),OpenAI,critpt,CritPt,Science,% correct,1.4,https://github.com/CritPt-Benchmark/CritPt,leaderboard,verified,True,"""CritPt leaderboard, ε=1.5, % tasks solved""", @@ -2244,7 +2244,7 @@ o3-high,o3 (high),OpenAI,gpqa_main,GPQA Main (full set),Science,,83.3,https://ll o3-high,o3 (high),OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,77.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=77.3 (high reasoning effort). o3-high,o3 (high),OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,72.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=72.9 (high reasoning effort). o3-high,o3 (high),OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,20.2,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=20.2 (high reasoning effort). -o3-high,o3 (high),OpenAI,hle_text,HLE Text,Search Agent,%,14.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" +o3-high,o3 (high),OpenAI,hle_text,HLE Text,Reasoning,%,14.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" o3-high,o3 (high),OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,81.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=81.7 (high reasoning effort). o3-high,o3 (high),OpenAI,humaneval,HumanEval,Coding,pass@1 %,88.4,https://github.com/openai/simple-evals,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","openai/simple-evals README (no tools, [^10]): o3-high=88.4." o3-high,o3 (high),OpenAI,ifbench,IFBench,Instruction Following,% correct,69.3,https://github.com/allenai/IFBench,leaderboard,verified,True,"""IFBench score, 0-shot""","Source lists ""OpenAI o3"" without explicit effort level" @@ -2255,7 +2255,7 @@ o3-high,o3 (high),OpenAI,math_500,MATH-500,Math,% correct,98.1,https://github.co o3-high,o3 (high),OpenAI,mathvista,MathVista,Math/Vision,%,86.8,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" o3-high,o3 (high),OpenAI,mmmu,MMMU,Multimodal,% correct,82.9,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=82.9 (high reasoning effort). o3-high,o3 (high),OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,76.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=76.4 (high reasoning effort). -o3-high,o3 (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,,91.6,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" +o3-high,o3 (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,%,91.6,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" o3-high,o3 (high),OpenAI,multichallenge,MultiChallenge,Instruction Following,%,60.4,https://llm-stats.com/benchmarks/multichallenge,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o3 base, not high)""}","llm-stats.com row: model=o3, slug=o3-2025-04-16, provider=OpenAI" o3-high,o3 (high),OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,60.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o3-high=60.4 (high reasoning effort). o3-high,o3 (high),OpenAI,simpleqa,SimpleQA,Knowledge,% correct,48.6,https://github.com/openai/simple-evals,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","openai/simple-evals README (no tools, [^10]): o3-high=48.6." @@ -2307,9 +2307,9 @@ o4-mini-high,o4-mini (high),OpenAI,aime_2025,AIME 2025,Math,% correct (pass@1),9 o4-mini-high,o4-mini (high),OpenAI,arc_agi_1,ARC-AGI-1,Reasoning,% correct,58.7,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: o4-mini (High) on leaderboard o4-mini-high,o4-mini (high),OpenAI,arc_agi_2,ARC-AGI-2,Reasoning,% correct,6.1,https://arcprize.org/leaderboard,leaderboard,verified,True,"{""effort"": ""high"", ""harness"": ""official (arcprize.org)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""sampling"": ""pass@1 (single-pass)"", ""system_type"": ""CoT"", ""tools"": ""none""}",arcprize.org leaderboard audit: o4-mini (High) on leaderboard o4-mini-high,o4-mini (high),OpenAI,browsecomp,BrowseComp,Agentic,% correct,51.5,https://llm-stats.com/benchmarks/browsecomp,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" -o4-mini-high,o4-mini (high),OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,%,80.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: o4-mini-high=80.0 (high reasoning effort). +o4-mini-high,o4-mini (high),OpenAI,browsecomp_long_context_128k,BrowseComp Long Context 128k,Long Context,% accuracy,80.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",OpenAI GPT-5 dev blog: o4-mini-high=80.0 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,brumo_2025,BRUMO 2025,Math,% correct (pass@1),86.67,https://matharena.ai/?comp=brumo--brumo_2025,leaderboard,verified,True,"""reasoning_effort:high""", -o4-mini-high,o4-mini (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),72.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: o4-mini-high=72.0 (high reasoning effort). +o4-mini-high,o4-mini (high),OpenAI,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,72.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""with python tool (per OpenAI dev blog)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""python tool""}",OpenAI GPT-5 dev blog: o4-mini-high=72.0 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,cmimc_2025,CMIMC 2025,Math,% correct (pass@1),84.38,https://matharena.ai/?comp=cmimc--cmimc_2025,leaderboard,verified,True,"""reasoning_effort:high""", o4-mini-high,o4-mini (high),OpenAI,collie,COLLIE,Instruction Following,%,96.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=96.1 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,critpt,CritPt,Science,% correct,0.6,https://github.com/CritPt-Benchmark/CritPt,leaderboard,verified,True,"""CritPt leaderboard, ε=1.5, % tasks solved""", @@ -2321,7 +2321,7 @@ o4-mini-high,o4-mini (high),OpenAI,gpqa_main,GPQA Main (full set),Science,,81.4, o4-mini-high,o4-mini (high),OpenAI,graphwalks_bfs_0k_128k,GraphWalks BFS 0-128K,Long Context,%,62.3,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=62.3 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,graphwalks_parents_0k_128k,GraphWalks parents 0-128K,Long Context,%,51.1,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=51.1 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,hle,HLE (Humanity's Last Exam),Reasoning,% correct,14.7,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=14.7 (high reasoning effort). -o4-mini-high,o4-mini (high),OpenAI,hle_text,HLE Text,Search Agent,%,14.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" +o4-mini-high,o4-mini (high),OpenAI,hle_text,HLE Text,Reasoning,%,14.7,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" o4-mini-high,o4-mini (high),OpenAI,hmmt_feb_2025,HMMT Feb 2025,Math,%,85.0,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=85.0 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,humaneval,HumanEval,Coding,pass@1 %,99.3,https://github.com/openai/simple-evals,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","openai/simple-evals README (no tools, [^10]): o4-mini-high=99.3. Prior ref (rdworldonline) reported 98.5 — overwritten." o4-mini-high,o4-mini (high),OpenAI,ifeval,IFEval,Instruction Following,% correct (prompt strict),92.4,https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507,model_card,verified,True,, @@ -2332,7 +2332,7 @@ o4-mini-high,o4-mini (high),OpenAI,math_500,MATH-500,Math,% correct,98.2,https:/ o4-mini-high,o4-mini (high),OpenAI,mathvista,MathVista,Math/Vision,%,84.3,https://llm-stats.com/benchmarks/mathvista,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" o4-mini-high,o4-mini (high),OpenAI,mmmu,MMMU,Multimodal,% correct,81.6,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=81.6 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,mmmu_pro,MMMU-Pro,Multimodal,% correct,73.4,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""avg across standard and vision sets"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=73.4 (high reasoning effort). -o4-mini-high,o4-mini (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,,93.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" +o4-mini-high,o4-mini (high),OpenAI,mt_aime_2024,MT-AIME2024,Math,%,93.4,https://llm-stats.com/benchmarks/aime-2024,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" o4-mini-high,o4-mini (high),OpenAI,multichallenge,MultiChallenge,Instruction Following,%,43.0,https://llm-stats.com/benchmarks/multichallenge,third_party_aggregator,verified_third_party,False,"{""effort"": ""default (o4-mini base, not high)""}","llm-stats.com row: model=o4-mini, slug=o4-mini, provider=OpenAI" o4-mini-high,o4-mini (high),OpenAI,multichallenge_o3mini_grader,MultiChallenge (o3-mini grader),Instruction Following,%,57.5,https://openai.com/index/introducing-gpt-5-for-developers/,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",OpenAI GPT-5 dev blog: o4-mini-high=57.5 (high reasoning effort). o4-mini-high,o4-mini (high),OpenAI,simpleqa,SimpleQA,Knowledge,% correct,19.3,https://github.com/openai/simple-evals,official_blog,verified,True,"{""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","openai/simple-evals README (no tools, [^10]): o4-mini-high=19.3." @@ -2359,7 +2359,7 @@ qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,livebench,LiveBench,Composite,overall qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,math,MATH,Math,,80.0,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen2.5 14B Instruct, slug=qwen-2.5-14b-instruct, provider=Alibaba Cloud / Qwen Team" qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,math_500,MATH-500,Math,% correct,75.6,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): math_500=75.6. Third-party Microsoft self-test, mc=false." qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,mbpp_plus,MBPP+,Coding,,63.2,https://llm-stats.com/benchmarks/mbpp+,third_party_aggregator,verified_third_party,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen2.5 14B Instruct, slug=qwen-2.5-14b-instruct, provider=Alibaba Cloud / Qwen Team" -qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,mgsm,MGSM,Math,%,79.6,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mgsm=79.6. Third-party Microsoft self-test, mc=false." +qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,mgsm,MGSM,Math,exact match (%),79.6,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mgsm=79.6. Third-party Microsoft self-test, mc=false." qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,mmlu_pro,MMLU-Pro,Knowledge,% correct,63.2,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}","Phi-4 paper Table 1 baseline (qwen-2.5-14b-instruct column): mmlu_pro=63.2. Third-party Microsoft self-test, mc=false." qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,multipl_e_avg,MultiPL-E (average),Coding,%,72.8,https://llm-stats.com/benchmarks/multipl-e,third_party_aggregator,verified_third_party,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen2.5 14B Instruct, slug=qwen-2.5-14b-instruct, provider=Alibaba Cloud / Qwen Team" qwen-2.5-14b-instruct,,,popqa,,,,21.1,,,,,, @@ -2410,7 +2410,7 @@ qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,chinese_simpleqa,Chinese-Simpl qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,cluewsc,CLUEWSC,Chinese,%,91.4,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=91.4. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,cnmo_2024,CNMO 2024,Math,%,15.9,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=15.9. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,drop,DROP,Reasoning,%,76.7,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=76.7. -qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,frames,Frames,Agentic search,,69.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=69.8. +qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,frames,Frames,Agentic search,%,69.8,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=69.8. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,gpqa_diamond,GPQA Diamond,Science,% correct,49.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=49.0. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,gsm8k,GSM8K,Math,% correct,89.5,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): gsm8k=89.5. Third-party Allen AI self-test, mc=false." qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,humaneval,HumanEval,Coding,pass@1 %,77.3,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=77.3. @@ -2421,7 +2421,7 @@ qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,longbench_v2,LongBench-V2,Long qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,math,MATH,Math,,75.9,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): math=75.9. Third-party Allen AI self-test, mc=false." qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,math_500,MATH-500,Math,% correct,80.0,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=80.0. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,mbpp_plus,MBPP+,Coding,,88.6,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (qwen2.5-72b-instruct column): mbpp_plus=88.6. Third-party Cohere reproduction, mc=false." -qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,mgsm,MGSM,Math,%,87.3,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (qwen2.5-72b-instruct column): mgsm=87.3 +qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,mgsm,MGSM,Math,exact match (%),87.3,https://arxiv.org/abs/2412.08905,tech_report,verified,False,"{""effort"": ""unknown"", ""harness"": ""Microsoft Phi internal eval"", ""judge"": ""rule-based"", ""mode"": ""unknown"", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",Phi-4 paper Table 1 (qwen2.5-72b-instruct column): mgsm=87.3 qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,mmlu_pro,MMLU-Pro,Knowledge,% correct,71.6,https://arxiv.org/abs/2412.19437,tech_report,verified,True,"{""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",DeepSeek V3 paper Table 6: qwen2.5-72b-instruct=71.6. qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,popqa,PopQA,QA,,30.6,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (qwen2.5-72b-instruct column): popqa=30.6. Third-party Allen AI self-test, mc=false." qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,repoqa,RepoQA,Coding,,83.2,https://cohere.com/research/papers/command-a-technical-report.pdf,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""Cohere internal eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Command A paper (qwen2.5-72b-instruct column): repoqa=83.2. Third-party Cohere reproduction, mc=false." @@ -2442,7 +2442,7 @@ qwen3-235b,Qwen3-235B-A22B,Alibaba,bfcl_v3,BFCL v3,Tool use,,70.8,https://arxiv. qwen3-235b,Qwen3-235B-A22B,Alibaba,codeforces_rating,Codeforces Rating,Coding,Elo rating,2056.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: CodeForces rating 2056 (98.2 percentile) qwen3-235b,Qwen3-235B-A22B,Alibaba,gpqa_diamond,GPQA Diamond,Science,% correct,71.1,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: GPQA Diamond 71.1 qwen3-235b,Qwen3-235B-A22B,Alibaba,gpqa_main,GPQA Main (full set),Science,,81.1,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" -qwen3-235b,Qwen3-235B-A22B,Alibaba,hle_text,HLE Text,Search Agent,%,18.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" +qwen3-235b,Qwen3-235B-A22B,Alibaba,hle_text,HLE Text,Reasoning,%,18.2,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" qwen3-235b,Qwen3-235B-A22B,Alibaba,hmmt_feb_2025,HMMT Feb 2025,Math,%,62.5,https://huggingface.co/deepseek-ai/DeepSeek-R1-0528,model_card,verified,True,,DeepSeek-R1-0528 HF card comparison table shows Qwen3-235B-A22B HMMT Feb 25=62.5. qwen3-235b,Qwen3-235B-A22B,Alibaba,humaneval,HumanEval,Coding,pass@1 %,90.0,https://qwenlm.github.io/blog/qwen3/,official_blog,verified,True,"""Qwen3 blog performance table, thinking mode""",Confirmed via official Qwen3 blog and web search (90.0%) qwen3-235b,Qwen3-235B-A22B,Alibaba,ifeval,IFEval,Instruction Following,% correct (prompt strict),83.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking: IFEval strict prompt 83.4. [R5d: prior unverified value 87.8 from https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507 deleted.] @@ -2451,12 +2451,12 @@ qwen3-235b,Qwen3-235B-A22B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,7 qwen3-235b,Qwen3-235B-A22B,Alibaba,math,MATH,Math,,71.8,https://llm-stats.com/benchmarks/math,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column. Output length 32768 (38912 for AIME)."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen3 235B A22B, slug=qwen3-235b-a22b, provider=Alibaba Cloud / Qwen Team" qwen3-235b,Qwen3-235B-A22B,Alibaba,math_500,MATH-500,Math,% correct,98.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking: MATH-500 98.0. [R5d: prior unverified value 98.2 from https://arxiv.org/abs/2505.09388 deleted.] qwen3-235b,Qwen3-235B-A22B,Alibaba,matharena_apex_2025,MathArena Apex 2025,Math,% correct,5.21,https://matharena.ai/?comp=apex--apex_2025,leaderboard,verified,True,"""thinking:default""", -qwen3-235b,Qwen3-235B-A22B,Alibaba,mgsm,MGSM,Math,%,83.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column. Output length 32768 (38912 for AIME)."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen3 235B A22B, slug=qwen3-235b-a22b, provider=Alibaba Cloud / Qwen Team" +qwen3-235b,Qwen3-235B-A22B,Alibaba,mgsm,MGSM,Math,exact match (%),83.5,https://llm-stats.com/benchmarks/mgsm,third_party_aggregator,verified_third_party,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column. Output length 32768 (38912 for AIME)."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","llm-stats.com row: model=Qwen3 235B A22B, slug=qwen3-235b-a22b, provider=Alibaba Cloud / Qwen Team" qwen3-235b,Qwen3-235B-A22B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,84.3,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MMMLU 14 languages 84.3 -qwen3-235b,Qwen3-235B-A22B,Alibaba,mt_aime_2024,MT-AIME2024,Math,,80.8,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MT-AIME2024 80.8 +qwen3-235b,Qwen3-235B-A22B,Alibaba,mt_aime_2024,MT-AIME2024,Math,%,80.8,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: MT-AIME2024 80.8 qwen3-235b,Qwen3-235B-A22B,Alibaba,multi_if,Multi-IF,Instruction Following,%,71.9,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column: Multi-IF 71.9 qwen3-235b,Qwen3-235B-A22B,Alibaba,multipl_e_avg,MultiPL-E (average),Coding,%,87.9,https://llm-stats.com/benchmarks/multipl-e,third_party_aggregator,verified_third_party,False,"{""mode"": ""instruct"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Instruct-2507, slug=qwen3-235b-a22b-instruct-2507, provider=Alibaba Cloud / Qwen Team" -qwen3-235b,Qwen3-235B-A22B,Alibaba,ojbench,OJBench,Coding,,32.5,https://llm-stats.com/benchmarks/ojbench,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" +qwen3-235b,Qwen3-235B-A22B,Alibaba,ojbench,OJBench,Coding,%,32.5,https://llm-stats.com/benchmarks/ojbench,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" qwen3-235b,Qwen3-235B-A22B,Alibaba,simpleqa,SimpleQA,Knowledge,% correct,13.2,https://arxiv.org/abs/2507.20534,tech_report,verified,False,"{""context"": ""8192 max output tokens"", ""effort"": ""default"", ""harness"": ""Kimi team evaluation (official API)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""unified (Kimi team setting)"", ""tools"": ""none (benchmark-specified)""}","Via third-party self-test by Moonshot AI (Kimi K2 tech report, Table 3, p.16). SimpleQA Correct, non-thinking (vendor-recommended no-thinking regime), 8192 max output tokens." qwen3-235b,Qwen3-235B-A22B,Alibaba,supergpqa,SuperGPQA,Science,%,64.9,https://llm-stats.com/benchmarks/supergpqa,third_party_aggregator,verified_third_party,False,"{""mode"": ""thinking"", ""snapshot"": ""2507""}","llm-stats.com row: model=Qwen3-235B-A22B-Thinking-2507, slug=qwen3-235b-a22b-thinking-2507, provider=Alibaba Cloud / Qwen Team" qwen3-235b,Qwen3-235B-A22B,Alibaba,swe_bench_verified,SWE-bench Verified,Coding,% resolved,69.6,https://qwenlm.github.io/blog/qwen3/,official_blog,verified,True,"""Qwen3 blog performance table, thinking mode""",Confirmed via multiple independent web sources (69.6%) @@ -2476,7 +2476,7 @@ qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,livebench,LiveBench,Composite,overall score, qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,62.6,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: LiveCodeBench v5 62.6. [R5d: prior unverified value 66.0 from https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507 deleted.] qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,math_500,MATH-500,Math,% correct,98.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MATH-500 98.0. [R5d: prior unverified value 96.0 from https://qwenlm.github.io/blog/qwen3/ deleted.] qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,78.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MMMLU 14 langs 78.4 -qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,mt_aime_2024,MT-AIME2024,Math,,73.9,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 73.9 +qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,mt_aime_2024,MT-AIME2024,Math,%,73.9,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 73.9 qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,multi_if,Multi-IF,Instruction Following,%,72.2,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: Multi-IF 72.2 qwen3-32b,Qwen3-32B,Alibaba,aime_2024,AIME 2024,Math,% correct (pass@1),81.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 81.4 qwen3-32b,Qwen3-32B,Alibaba,aime_2025,AIME 2025,Math,% correct (pass@1),72.9,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: AIME 2025 72.9. [R5d: prior unverified value 76.67 from https://arxiv.org/abs/2505.09388 deleted.] @@ -2492,7 +2492,7 @@ qwen3-32b,Qwen3-32B,Alibaba,livebench,LiveBench,Composite,overall score,74.9,htt qwen3-32b,Qwen3-32B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,65.7,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: LiveCodeBench v5 65.7. [R5d: prior unverified value 63.0 from https://qwenlm.github.io/blog/qwen3/ deleted.] qwen3-32b,Qwen3-32B,Alibaba,math_500,MATH-500,Math,% correct,97.2,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MATH-500 97.2. [R5d: prior unverified value 96.0 from https://qwenlm.github.io/blog/qwen3/ deleted.] qwen3-32b,Qwen3-32B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,80.6,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MMMLU 14 langs 80.6 -qwen3-32b,Qwen3-32B,Alibaba,mt_aime_2024,MT-AIME2024,Math,,75.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 75.0 +qwen3-32b,Qwen3-32B,Alibaba,mt_aime_2024,MT-AIME2024,Math,%,75.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 75.0 qwen3-32b,Qwen3-32B,Alibaba,multi_if,Multi-IF,Instruction Following,%,73.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: Multi-IF 73.0 qwen3-32b,Qwen3-32B,Alibaba,terminal_bench_1,Terminal-Bench 1.0,Agentic,% solved,15.5,https://www.tbench.ai/leaderboard/terminal-bench/1.0,leaderboard,verified,,,"Confirmed 15.5% on tbench.ai Terminal-Bench 1.0 leaderboard (TerminalAgent scaffold, 2025-07-31)." qwen3-8b,Qwen3-8B,Alibaba,aime_2024,AIME 2024,Math,% correct (pass@1),76.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Table 13/15/17/19 Thinking: AIME 2024 76.0 @@ -2508,14 +2508,14 @@ qwen3-8b,Qwen3-8B,Alibaba,livebench,LiveBench,Composite,overall score,67.1,https qwen3-8b,Qwen3-8B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,57.5,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: LiveCodeBench v5 57.5. [R5d: prior unverified value 48.0 from https://qwenlm.github.io/blog/qwen3/ deleted.] qwen3-8b,Qwen3-8B,Alibaba,math_500,MATH-500,Math,% correct,97.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MATH-500 97.4. [R5d: prior unverified value 94.0 from https://qwenlm.github.io/blog/qwen3/ deleted.] qwen3-8b,Qwen3-8B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,74.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MMMLU 14 langs 74.4 -qwen3-8b,Qwen3-8B,Alibaba,mt_aime_2024,MT-AIME2024,Math,,65.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 65.4 +qwen3-8b,Qwen3-8B,Alibaba,mt_aime_2024,MT-AIME2024,Math,%,65.4,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: MT-AIME2024 65.4 qwen3-8b,Qwen3-8B,Alibaba,multi_if,Multi-IF,Instruction Following,%,71.2,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3 tech report Thinking: Multi-IF 71.2 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,aa_lcr,AA Long Context Reasoning,Long Context,% correct,68.7,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: AA-LCR 68.7 (was 72.7 = GPT5.2). [R5d: prior unverified value 72.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,aime_2026,AIME 2026,Math,% correct (pass@1),91.3,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: AIME 2026 91.3 (was 96.7 = GPT5.2). [R5d: prior unverified value 96.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,browsecomp,BrowseComp,Agentic,% correct,69.0,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: BrowseComp 69.0 simple context-folding (was 65.8 = GPT5.2). [R5d: prior unverified value 65.8 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,browsecomp_zh,BrowseComp-ZH,Agentic search,,70.3,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: BrowseComp-zh 70.3 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,bullshit_pushback,Bullshit-Bench (Clear Pushback),Behavior,% clear pushback,65.45,https://github.com/petergpt/bullshit-benchmark/tree/main/data/latest,leaderboard,verified,True,"""leaderboard.csv green_rate×100; reasoning=none""", -qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,charxiv_reasoning,CharXiv Reasoning,Multimodal,% correct (no tools),80.8,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: CharXiv RQ 80.8 +qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,charxiv_reasoning,CharXiv Reasoning,Multimodal,% accuracy,80.8,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: CharXiv RQ 80.8 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,global_piqa,Global PIQA,Reasoning,,89.8,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: Global PIQA 89.8 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,gpqa_diamond,GPQA Diamond,Science,% correct,88.4,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: GPQA Diamond 88.4 (was 92.4 = GPT5.2 col). [R5d: prior unverified value 92.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,hle,HLE (Humanity's Last Exam),Reasoning,% correct,28.7,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: HLE 28.7 (was 35.5 = GPT5.2). [R5d: prior unverified value 35.5 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] @@ -2528,7 +2528,7 @@ qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,imo_answerbench,IMO-AnswerBench,Math,,80. qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,83.6,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: LiveCodeBench v6 83.6 (was 87.7 = GPT5.2). [R5d: prior unverified value 87.7 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,longbench_v2,LongBench-V2,Long Context,%,63.2,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: LongBench v2 63.2 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mathvision,MathVision,Math,% correct,88.6,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MathVision 88.6 (HF Vision section; supersedes 90.3 from artificialanalysis.ai). [R5d: prior unverified value 90.3 from https://artificialanalysis.ai/models/qwen3-5-397b-a17b deleted — was scraped from wrong column (likely GPT5.2 column).] -qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mcpmark,MCPMark,Agentic,,46.1,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MCP-Mark 46.1 +qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mcpmark,MCPMark,Agentic,% success (pass@1),46.1,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MCP-Mark 46.1 qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mmlu_pro,MMLU-Pro,Knowledge,% correct,87.8,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MMLU-Pro 87.8 (was 87.4 = GPT5.2). [R5d: prior unverified value 87.4 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,88.5,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MMMLU 88.5 (was 89.5 = GPT5.2). [R5d: prior unverified value 89.5 from https://huggingface.co/Qwen/Qwen3.5-397B-A17B deleted — was scraped from wrong column (likely GPT5.2 column).] qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,mmmu,MMMU,Multimodal,% correct,85.0,https://huggingface.co/Qwen/Qwen3.5-397B-A17B,model_card,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",Qwen3.5-397B-A17B HF model card cross-model table: MMMU 85.0 @@ -2550,7 +2550,7 @@ qwen3.6-plus,Qwen3.6-Plus,Alibaba,global_piqa,Global PIQA,Reasoning,,89.8,https: qwen3.6-plus,Qwen3.6-Plus,Alibaba,gpqa_diamond,GPQA Diamond,Science,% correct,90.4,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: qwen3.6-plus=90.4. qwen3.6-plus,Qwen3.6-Plus,Alibaba,gpqa_main,GPQA Main (full set),Science,,90.4,https://llm-stats.com/benchmarks/gpqa,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,hle,HLE (Humanity's Last Exam),Reasoning,% correct,28.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: qwen3.6-plus=28.8. -qwen3.6-plus,Qwen3.6-Plus,Alibaba,hle_text,HLE Text,Search Agent,%,28.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" +qwen3.6-plus,Qwen3.6-Plus,Alibaba,hle_text,HLE Text,Reasoning,%,28.8,https://llm-stats.com/benchmarks/humanity's-last-exam,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,hmmt_feb_2025,HMMT Feb 2025,Math,%,96.7,https://llm-stats.com/benchmarks/hmmt-2025,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,hmmt_feb_2026,HMMT Feb 2026,Math,% correct (pass@1),87.8,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: qwen3.6-plus=87.8. qwen3.6-plus,Qwen3.6-Plus,Alibaba,hmmt_nov_2025,HMMT Nov 2025,Math,% correct,94.6,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",GLM-5.1 blog: qwen3.6-plus=94.6. @@ -2561,7 +2561,7 @@ qwen3.6-plus,,,livecodebench,,,,87.1,,,,,, qwen3.6-plus,Qwen3.6-Plus,Alibaba,longbench_v2,LongBench-V2,Long Context,%,62.0,https://llm-stats.com/benchmarks/longbench-v2,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,mathvision,MathVision,Math,% correct,88.0,https://llm-stats.com/benchmarks/mathvision,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,mcpatlas,MCPAtlas Public,Agentic,% correct (pass@1),74.1,https://z.ai/blog/glm-5.1,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""agentic""}",GLM-5.1 blog: qwen3.6-plus=74.1. -qwen3.6-plus,Qwen3.6-Plus,Alibaba,mcpmark,MCPMark,Agentic,,48.2,https://llm-stats.com/benchmarks/mcp-mark,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" +qwen3.6-plus,Qwen3.6-Plus,Alibaba,mcpmark,MCPMark,Agentic,% success (pass@1),48.2,https://llm-stats.com/benchmarks/mcp-mark,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,mmlu_pro,MMLU-Pro,Knowledge,% correct,88.5,https://qwen.ai/blog?id=qwen3.6,official_blog,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","Qwen3.6 blog: qwen3.6-plus=88.5 (vs Claude Opus 4.5=89.5, Kimi-K2.5=87.1, GLM5=85.7, Qwen3.5-397B=87.8)." qwen3.6-plus,Qwen3.6-Plus,Alibaba,mmmlu,MMMLU,Knowledge,% correct,89.5,https://llm-stats.com/benchmarks/mmmlu,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" qwen3.6-plus,Qwen3.6-Plus,Alibaba,mmmu,MMMU,Multimodal,% correct,86.0,https://llm-stats.com/benchmarks/mmmu,third_party_aggregator,verified_third_party,True,{},"llm-stats.com row: model=Qwen3.6 Plus, slug=qwen3.6-plus, provider=Alibaba Cloud / Qwen Team" @@ -2600,6 +2600,6 @@ qwq-32b,QwQ-32B,Alibaba,livecodebench,LiveCodeBench,Coding,pass@1 %,62.7,https:/ qwq-32b,QwQ-32B,Alibaba,math,MATH,Math,,98.1,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (qwq-32b column): math=98.1. Third-party Allen AI self-test, mc=false." qwq-32b,QwQ-32B,Alibaba,math_500,MATH-500,Math,% correct,98.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: MATH-500 98.0 (Qwen3 T13; supersedes preview 90.6) [R5d: prior unverified value 90.6 from https://qwenlm.github.io/blog/qwq-32b-preview/ deleted.] qwq-32b,QwQ-32B,Alibaba,mmmlu,MMMLU,Knowledge,% correct,80.9,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: MMMLU 14 langs 80.9 -qwq-32b,QwQ-32B,Alibaba,mt_aime_2024,MT-AIME2024,Math,,68.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: MT-AIME2024 68.0 +qwq-32b,QwQ-32B,Alibaba,mt_aime_2024,MT-AIME2024,Math,%,68.0,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: MT-AIME2024 68.0 qwq-32b,QwQ-32B,Alibaba,multi_if,Multi-IF,Instruction Following,%,68.3,https://arxiv.org/abs/2505.09388,tech_report,verified,True,"{""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",QwQ-32B blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column: Multi-IF 68.3 qwq-32b,QwQ-32B,Alibaba,safety,Safety (OLMES suite),Safety,,69.9,https://arxiv.org/abs/2501.00656,tech_report,verified,False,"{""effort"": ""n/a"", ""harness"": ""OLMES"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}","OLMo 2 paper Table 7 Instruct (qwq-32b column): safety=69.9. Third-party Allen AI self-test, mc=false."