- AIME '24 49.6
- GPQA Diamond (model-extracted answers) 65
- MMLU 87.5
- Multilingual MMLU 78.5
- SWE-bench Verified (477 of 500 tasks) 23.6
- SWE-Lancer (IC-Diamond subset) $31K (13.1%) 13.1
- Aider's polyglot: whole 34.7 (diff 31.6) 34.7
- Internal API instruction following (hard) 45.1
- MultiChallenge (GPT-4o grader) 35.8 (o3-mini grader 42.2) 35.8
- COLLIE 54.6
- IFEval 84.1
- Multi-IF 67
- OpenAI-MRCR: 2 needle 128k 47.2 (1M: 33.3) 47.2
- Graphwalks bfs <128k 61.7 (parents <128k 60.5) 61.7
- MMMU 72.7
- MathVista 73.1
- CharXiv-R 56.8 (CharXiv-D 88.4) 56.8
- ComplexFuncBench 49.3
- Mean of Taubench airline 36.0 / retail 55.8 45.9
GPT-4.1 mini
GPT-4.1 mini places in the top three on 3 benchmarks.
GPT-4.1 mini
Closed weights
- GPQA Diamond 65.8% #126 /229
- FrontierMath 4.48% #41 /55
- ProfBench 42.8% #54 /72
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Vectara Hallucination Leaderboard (HHEM) | 2.20% | #27 of 148 | Official leaderboard | |
| MMLU | 87.5% | #33 of 131 | Lab model card | |
| Phare | 70.5% | #20 of 62 | Official leaderboard | |
| FaithJudge | 15.7% | #12 of 37 | Official leaderboard | |
| MMBench-CN v1.1 | 78.6% | #59 of 178 | Official leaderboard | |
| LMArena (Elo) | 1,383 | #152 of 335 | Official leaderboard | |
| Arena-Hard v2.0 | 46.9% | #12 of 23 | Official leaderboard | |
| Wer wird Millionär? LLM Benchmark | 2489.0 | #43 of 77 | Official leaderboard | |
| RewardBench 2 | 65.7% | #24 of 42 | Official leaderboard | |
| Internal API instruction following (OpenAI) | 45.1% | #5 of 8 | Official leaderboard | |
| Multi-IF | 67% | #18 of 28 | Lab model card | |
| MMMLU | 78.5% | #46 of 71 | Lab model card | |
| IFEval | 84.1% | #90 of 135 | Lab model card | |
| HELM Arabic | 76.8 | #19 of 28 | Official leaderboard | |
| EQ-Bench 3 | 1,097 | #53 of 78 | Official leaderboard | |
| OpenAI MRCR | 47.2% | #7 of 10 | Lab model card | |
| SimpleQA | 16.8% | #12 of 16 | Official leaderboard | |
| Judgemark v2.1 | 57.3 | #33 of 42 | Official leaderboard | |
| Creative Writing v3 | 55.5 | #95 of 120 | Official leaderboard | |
| GraphWalks | 61.7% | #22 of 27 | Lab model card | |
| Fiction.LiveBench | 44.4% | #47 of 57 | Fiction.live leaderboard, via Epoch AI | |
| COLLIE | 54.6% | #10 of 12 | Lab model card | |
| MARS-Bench | 31.2% | #13 of 15 | Official leaderboard | |
| AMemGym | 36.7% | #10 of 11 | Official leaderboard | |
| MultiChallenge | 35.8% | #39 of 42 | Lab model card | |
| SimpleQA Verified | 12.7% | #88 of 94 | Epoch AI run | |
| Seal-0 | 0% | #11 of 11 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH Level 5 | 87.3% | #20 of 94 | Epoch AI run | |
| GPQA Main | 61.4% | #23 of 60 | Official leaderboard | |
| Misguided Attention | 48.7% | #20 of 45 | Official leaderboard | |
| SciArena | 1,015 | #16 of 34 | Official leaderboard | |
| GPQA Diamond | 65.8% | #126 of 229 | Epoch AI run | |
| PolyMath | 28.8% | #22 of 38 | Official leaderboard | |
| DTBench | 68.8% | #116 of 180 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 44.7% | #138 of 212 | Epoch AI run | |
| MATH-500 | 88% | #27 of 38 | Official leaderboard | |
| FrontierMath | 4.48% | #41 of 55 | Official leaderboard | |
| AIME 2024 | 49.6% | #75 of 88 | Lab model card | |
| LiveMathematicianBench | 20.4% | #16 of 17 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 6.67% | #82 of 86 | Official leaderboard | |
| ARC-AGI-2 | 0% | #95 of 98 | Official leaderboard | |
| ARC-AGI | 3.50% | #93 of 95 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigCodeBench-Hard | 31.8% | #14 of 96 | Official leaderboard | |
| StructEval | 76.1% | #11 of 28 | Official leaderboard | |
| BigCodeArena | 1,000 | #9 of 13 | Official leaderboard | |
| WeirdML | 37.6% | #87 of 112 | Official leaderboard | |
| DesignArena Game Dev | 1,061 | #114 of 143 | Official leaderboard | |
| SWE-bench Verified | 23.9% | #51 of 60 | Official leaderboard | |
| Aider Polyglot | 34.7% | #26 of 30 | Lab model card | |
| DesignArena Website | 990 | #133 of 151 | Official leaderboard | |
| DesignArena UI Component | 952 | #127 of 139 | Official leaderboard | |
| DesignArena Code | 984 | #132 of 143 | Official leaderboard | |
| DesignArena 3D Design | 819 | #136 of 136 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| TextQuests | 11.7 | #3 of 28 | Official leaderboard | |
| Galileo Agent Leaderboard v2 | 56% | #3 of 21 | Official leaderboard | |
| Berkeley Function Calling Leaderboard (BFCL) | 65.2% | #13 of 67 | Official leaderboard | |
| Galileo Agent Leaderboard | 0.91 | #7 of 29 | Official leaderboard | |
| BFCL V4 | 50.5% | #21 of 65 | Official leaderboard | |
| SnakeBench | 25 | #82 of 188 | Official leaderboard | |
| ComplexFuncBench | 49.3% | #2 of 3 | Lab model card | |
| LLM Chess | -167 | #91 of 123 | Official leaderboard | |
| CompileBench | 66.7% | #15 of 20 | Official leaderboard | |
| AppWorld Test-Challenge | 37.6% | #9 of 12 | Official leaderboard | |
| LisanBench | 126.3 | #110 of 133 | Official leaderboard | |
| AppWorld Test-Normal | 61.9% | #10 of 12 | Official leaderboard | |
| Mystery Game Puzzles | 7.00% | #77 of 84 | Epoch AI run | |
| tau-bench | 45.9% | #22 of 23 | Lab model card | |
| MCPMark | 3.94% | #27 of 28 | Official leaderboard | |
| Chess Puzzles | 1.00% | #92 of 93 | Epoch AI run | |
| tau2-bench | 53% | #10 of 10 | Official leaderboard | |
| Cooperate to Compete (C2C) | -1.97 | #5 of 5 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LEXam | 54.6% | #9 of 30 | Official leaderboard | |
| MortgageTax | 65.5% | #38 of 87 | Official leaderboard | |
| TaxEval v2 | 71.9% | #67 of 129 | Official leaderboard | |
| CorpFin v2 | 57.9% | #81 of 119 | Official leaderboard | |
| Vals Finance Agent v1 | 20.8% | #32 of 47 | Official leaderboard | |
| LegalBench | 78% | #96 of 138 | Official leaderboard | |
| ProfBench | 42.8% | #54 of 72 | Official leaderboard | |
| EnterpriseClawBench | 28.6% | #8 of 9 | Official leaderboard | |
| CadEval | 16% | #12 of 13 | Official leaderboard | |
| PRBench | 30.4% | #47 of 48 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SEED-Bench-2-Plus | 71.9% | #4 of 136 | Official leaderboard | |
| MMBench | 86.9% | #10 of 155 | Official leaderboard | |
| CharXiv (DQ) | 88.4% | #5 of 67 | Official leaderboard | |
| MM-Vet | 74.3% | #13 of 164 | Official leaderboard | |
| A-Bench | 77.4% | #14 of 116 | Official leaderboard | |
| MMBench-EN v1.1 | 83.2% | #30 of 178 | Official leaderboard | |
| VideoEval-Pro | 39.9% | #2 of 10 | Official leaderboard | |
| CCBench (MMBench Chinese Culture) | 64.3% | #31 of 152 | Official leaderboard | |
| VHELM | 65.6 | #11 of 41 | Official leaderboard | |
| MMStar | 60.9% | #55 of 173 | Official leaderboard | |
| Math-VR | 33.3% | #13 of 26 | Official leaderboard | |
| MMMU | 72.7% | #54 of 103 | Lab model card | |
| MathVista | 73.1% | #40 of 70 | Lab model card | |
| Vision Arena | 1,201 | #78 of 136 | Official leaderboard | |
| VISTA | 41.1% | #32 of 54 | Official leaderboard | |
| vCX Benchmark | 82.9% | #29 of 42 | Official leaderboard | |
| MADQA | 53% | #14 of 18 | Official leaderboard | |
| MathCanvas-Bench | 14.6% | #13 of 16 | Official leaderboard | |
| CharXiv | 56.8% | #67 of 75 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SimpleSafetyTests | 100% | #11 of 75 | Official leaderboard | |
| BioTIER Permit | 99.8% | #13 of 69 | Official leaderboard | |
| HELM Safety | 94.9 | #22 of 75 | Official leaderboard | |
| Anthropic Red Team | 99.3% | #27 of 75 | Official leaderboard | |
| BaxBench | 31.8% | #16 of 34 | Official leaderboard | |
| AIR-Bench 2024 | 60.4% | #52 of 82 | Official leaderboard | |
| nocot-bench (NCRI) | 65.0 | #121 of 185 | Official leaderboard | |
| Molecular Biology Capabilities Test | 42.5% | #67 of 90 | Official leaderboard | |
| Human Pathogen Capabilities Test | 39% | #71 of 86 | Official leaderboard | |
| Human Pathogen Capabilities Test v2 (HPCT v2) | 31.5% | #63 of 71 | Official leaderboard | |
| World-Class Bio | 24.4% | #67 of 74 | Official leaderboard | |
| FORTRESS | 59.2% | #67 of 73 | Official leaderboard | |
| LiveSecBench | 23.0 | #32 of 34 | Official leaderboard | |
| BioTIER Refuse | 10.4% | #66 of 69 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 68.9 | #40 of 173 | Official leaderboard | |
| HELM Capabilities | 72.6 | #18 of 60 | Official leaderboard | |
| LMCA | 21.1% | #110 of 147 | Official leaderboard | |
| Conceptual Reasoning Index | 31.0 | #114 of 151 | Official leaderboard | |
| ACCoRD | 43.6 | #125 of 152 | Official leaderboard |
Its lab's numbers put it at 126.5, 7.7 points below its ECI
The Self-Reported Index fits one score to the 16 capability results OpenAI reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 124.6 to 128.5. How we compute it.
- MMLU 87.5
- IFEval 84.1
- MMMLU 78.5
- MathVista 73.1
- MMMU 72.7
- Multi-IF 67
- GPQA Diamond 65
- GraphWalks 61.7
- CharXiv 56.8
- COLLIE 54.6
- AIME 2024 49.6
- OpenAI MRCR 47.2
- tau-bench 45.9
- MultiChallenge 35.8
- Aider Polyglot 34.7
- SWE-bench Verified 23.6
Its lab's numbers next to 6 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| IFEval | 84.1% IFEval | 90.4% Leaderboard, strict, share of instructions followed | −6.3 pts |
| Aider Polyglot | 34.7% Aider's polyglot: whole 34.7 (diff 31.6) | 32.4% Leaderboard, aider, diff edits | +2.3 pts |
| GPQA Diamond | 65% GPQA Diamond (model-extracted answers) | 65.8% Epoch AI run | −0.8 pts |
| SWE-bench Verified | 23.6% SWE-bench Verified (477 of 500 tasks) | 23.9% Leaderboard, mini-SWE-agent | −0.3 pts |
| Internal API instruction following (OpenAI) | 45.1% Internal API instruction following (hard) | 45.1% Leaderboard | Same |
| CharXiv | 56.8% CharXiv-R 56.8 (CharXiv-D 88.4) | 56.8% Leaderboard | Same |
OpenAI's models over time
OpenAI's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.