- AIME '25 (no tools) 85.2
- FrontierMath (with python tool only) 9.6
- GPQA diamond (no tools) 71.2
- HLE (no tools) 8.7
- HMMT 2025 (no tools) 75.6
- MMMU 75.6
- MMMU-Pro (avg across standard and vision sets) 62.6
- CharXiv reasoning (python enabled) 62.7
- VideoMMMU, max frame 256 66.8
- ERQA 50.1
- SWE-Lancer: IC SWE Diamond Freelance Coding Tasks ($49K)
- SWE-bench Verified (477 of 500 tasks) 54.7
- Aider polyglot (diff) 48.4
- Scale MultiChallenge (o3-mini grader) 54.9
- Internal API instruction following eval (hard) 56.1
- COLLIE 96.9
- Mean of Tau2-bench airline 41.0 / retail 62.3 / telecom 35.5 46.3
- OpenAI-MRCR: 2 needle 128k 43.2
- Graphwalks bfs <128k 64.0 (parents <128k 43.8) 64
- BrowseComp Long Context 128k 80.4 (256k 68.4) 80.4
- VideoMME (long, with subtitle category) 65.7
- Best of LongFact-Concepts / LongFact-Objects hallucination rate, no tools (lower is better) Concepts 1.0, Objects 2.8 1
- FActScore hallucination rate, no tools (lower is better) 7.3
GPT-5 nano
GPT-5 nano ranks first on HELM Safety.
GPT-5 nano
Closed weights
- MMMU-Pro 62.6% #64 /90
- Terminal-Bench 2.0 21.8% #39 /43
- ZeroBench 3.00% #60 /76
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 | |
|---|---|---|---|---|
| IFEval | 93.2% | #4 of 60 | Official leaderboard | |
| COLLIE | 96.9% | #3 of 12 | Lab model card | |
| SimpleQA Hallucination Rate | 31% | #3 of 12 | Lab model card | |
| MMBench-CN v1.1 | 79.6% | #48 of 178 | Official leaderboard | |
| Slop Score | 34.1 | #6 of 17 | Official leaderboard | |
| Phare | 69.5% | #22 of 62 | Official leaderboard | |
| SuperGPQA | 48.9% | #24 of 59 | Official leaderboard | |
| Wer wird Millionär? LLM Benchmark | 13156.0 | #32 of 77 | Official leaderboard | |
| SnorkelSpatial | 26.7% | #12 of 27 | Official leaderboard | |
| Internal API instruction following (OpenAI) | 56.1% | #2 of 4 | Lab model card | |
| LongFact-Concepts | 0.90% | #2 of 4 | Lab model card | |
| LMArena (Elo) | 1,338 | #190 of 335 | Official leaderboard | |
| LongFact | 1.00% | #3 of 5 | Lab model card | |
| Vectara Hallucination Leaderboard (2025 dataset) | 10.5% | #63 of 104 | Official leaderboard | |
| Vectara Hallucination Leaderboard (HHEM) | 4.70% | #90 of 148 | Official leaderboard | |
| MultiChallenge | 54.9% | #26 of 42 | Lab model card | |
| GraphWalks | 64% | #19 of 27 | Lab model card | |
| LongFact-Objects | 3.10% | #3 of 4 | Lab model card | |
| SimpleQA | 11% | #48 of 60 | Lab model card | |
| OpenAI MRCR | 43.2% | #8 of 10 | Lab model card | |
| Fiction.LiveBench | 44.4% | #49 of 57 | Fiction.live leaderboard, via Epoch AI | |
| Humanity's Last Exam | 8.70% | #144 of 154 | Lab model card | |
| Creative Writing v3 | 45.9 | #114 of 120 | Official leaderboard | |
| SimpleQA Verified | 11.7% | #90 of 94 | Epoch AI run | |
| Longform Creative Writing (EQ-Bench) | 28.0 | #115 of 119 | Official leaderboard | |
| BrowseComp Long Context 128k | 80.4% | #3 of 3 | Lab model card | |
| FActScore | 7.30% | #3 of 3 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnorkelSequences | 72% | #3 of 25 | Official leaderboard | |
| MATH Level 5 | 95.2% | #12 of 94 | Epoch AI run | |
| GPQA Main | 67.9% | #13 of 60 | Official leaderboard | |
| ChemBench | 63.4% | #8 of 24 | Official leaderboard | |
| MATH-500 | 93.8% | #16 of 38 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 81.1% | #96 of 212 | Epoch AI run | |
| CMT-Benchmark | 14% | #5 of 11 | Official leaderboard | |
| SnorkelGraph | 62.5% | #11 of 24 | Official leaderboard | |
| SMT 2025 | 85.4% | #19 of 40 | Official leaderboard | |
| AIME 2025 | 85.2% | #72 of 143 | Lab model card | |
| GPQA Diamond | 69.4% | #120 of 229 | Epoch AI run | |
| FrontierMath | 8.28% | #34 of 55 | Official leaderboard | |
| CMIMC 2025 | 74.4% | #22 of 33 | Official leaderboard | |
| ProofBench | 12% | #41 of 59 | Official leaderboard | |
| DTBench | 62.7% | #133 of 180 | Official leaderboard | |
| HMMT 2025 | 75.6% | #41 of 54 | Lab model card | |
| FrontierMath Tier 4 | 2.08% | #42 of 55 | Epoch AI run | |
| ARC-AGI-2 | 2.61% | #76 of 98 | Official leaderboard | |
| ARC-AGI | 20.7% | #81 of 95 | Official leaderboard | |
| SciArena | 903 | #29 of 34 | Official leaderboard | |
| HMMT Nov 2025 | 81.7% | #19 of 22 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 20% | #75 of 86 | Official leaderboard | |
| BRUMO 2025 | 80.8% | #37 of 42 | Official leaderboard | |
| FrontierMath Tier 4 v2 | 2.44% | #62 of 68 | Official leaderboard | |
| ForecastBench | 0.17 | #75 of 82 | Official leaderboard | |
| MaCBench | 68.8% | #2 of 2 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Aider Polyglot | 48.4% | #22 of 30 | Lab model card | |
| WeirdML | 38.1% | #86 of 112 | Official leaderboard | |
| SWE-bench Verified | 34.8% | #48 of 60 | Official leaderboard | |
| ALE-Bench | 1,016 | #105 of 126 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnakeBench | 28 | #54 of 188 | Official leaderboard | |
| LLM Chess | 683 | #37 of 123 | Official leaderboard | |
| BFCL V4 | 51.5% | #20 of 65 | Official leaderboard | |
| LisanBench | 1217.7 | #52 of 133 | Official leaderboard | |
| AdaPlanBench | 42.4% | #4 of 10 | Official leaderboard | |
| LLM-WikiRace | 4.00% | #11 of 21 | Official leaderboard | |
| Chess Puzzles | 22% | #62 of 93 | Epoch AI run | |
| SnorkelWordle | 79% | #13 of 19 | Official leaderboard | |
| Terminal-Bench | 21.8% | #14 of 18 | tbench.ai, via Epoch AI | |
| Mystery Game Puzzles | 9.00% | #72 of 84 | Epoch AI run | |
| MCPMark | 6.30% | #25 of 28 | Official leaderboard | |
| Terminal-Bench 2.0 | 21.8% | #39 of 43 | Official leaderboard | |
| PinchBench | 41.5% | #44 of 48 | Official leaderboard | |
| tau2-bench | 46.3% | #74 of 79 | Lab model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnorkelUnderwrite | 47% | #17 of 27 | Official leaderboard | |
| TaxEval v2 | 67.4% | #99 of 129 | Official leaderboard | |
| MedScribe | 72.9% | #77 of 97 | Official leaderboard | |
| CaseLaw v2 | 52.6% | #43 of 53 | Official leaderboard | |
| FinQA (Snorkel OpenEnv environment) | 50% | #18 of 22 | Official leaderboard | |
| SnorkelFinance | 50% | #18 of 22 | Official leaderboard | |
| MortgageTax | 53.6% | #73 of 87 | Official leaderboard | |
| LEXam | 27.3% | #26 of 30 | Official leaderboard | |
| MedCode | 30.4% | #89 of 96 | Official leaderboard | |
| ProfBench | 36.9% | #68 of 72 | Official leaderboard | |
| Finance Reasoning (Snorkel) | 26.6% | #20 of 21 | Official leaderboard | |
| LegalBench | 50.1% | #136 of 138 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMStar | 68.3% | #22 of 173 | Official leaderboard | |
| MM-Vet | 67.4% | #28 of 164 | Official leaderboard | |
| MMBench-EN v1.1 | 78.9% | #64 of 178 | Official leaderboard | |
| MMMU | 75.6% | #39 of 103 | Lab model card | |
| MMMU-Pro | 62.6% | #64 of 90 | Lab model card | |
| MADQA | 58.2% | #13 of 18 | Official leaderboard | |
| Vision Arena | 1,147 | #100 of 136 | Official leaderboard | |
| VPCT | 37.2% | #20 of 27 | VPCT leaderboard, via Epoch AI | |
| ERQA | 50.1% | #27 of 36 | Lab model card | |
| ZeroBench | 3.00% | #60 of 76 | Official leaderboard | |
| CharXiv | 62.7% | #62 of 75 | Lab model card | |
| Video-MMMU | 66.8% | #31 of 36 | Lab model card | |
| RoboRewardBench | 1.30 | #20 of 22 | Official leaderboard | |
| Video-MME | 65.7% | #47 of 51 | Lab model card | |
| ClockBench | 3.90% | #36 of 37 | Official leaderboard | |
| MineBench | 563 | #75 of 75 | Official leaderboard | |
| vCX Benchmark | 56.4% | #42 of 42 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Safety | 98.6 | #1 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 87.8% | #6 of 82 | Official leaderboard | |
| Anthropic Red Team | 99.5% | #17 of 75 | Official leaderboard | |
| SimpleSafetyTests | 100% | #21 of 75 | Official leaderboard | |
| KORA | 48.4% | #20 of 42 | Official leaderboard | |
| Human Pathogen Capabilities Test | 45.4% | #59 of 86 | Official leaderboard | |
| World-Class Bio | 33.6% | #56 of 74 | Official leaderboard | |
| Molecular Biology Capabilities Test | 41% | #73 of 90 | Official leaderboard | |
| nocot-bench (NCRI) | 31.0 | #182 of 185 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| OpenVLM Leaderboard | 72.2 | #23 of 173 | Official leaderboard | |
| HELM Capabilities | 74.8 | #13 of 60 | Official leaderboard | |
| ACCoRD | 58.8 | #94 of 152 | Official leaderboard | |
| CAIS Risk Index | 55.6 | #43 of 67 | Official leaderboard | |
| Conceptual Reasoning Index | 24.1 | #130 of 151 | Official leaderboard | |
| LMCA | 7.93% | #137 of 147 | Official leaderboard | |
| SAGE (Vals) | 30.4% | #76 of 81 | Official leaderboard | |
| CAIS Vision Capabilities Index | 34.3 | #51 of 53 | Official leaderboard | |
| CAIS Text Capabilities Index | 6.60 | #68 of 68 | Official leaderboard |
Its lab's numbers put it at 133.4, 5.7 points below its ECI
The Self-Reported Index fits one score to the 18 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 130.8 to 136.0. How we compute it.
- COLLIE 96.9
- AIME 2025 85.2
- HMMT 2025 75.6
- MMMU 75.6
- GPQA Diamond 71.2
- Video-MMMU 66.8
- Video-MME 65.7
- GraphWalks 64
- CharXiv 62.7
- MMMU-Pro 62.6
- MultiChallenge 54.9
- SWE-bench Verified 54.7
- Aider Polyglot 48.4
- tau2-bench 46.3
- OpenAI MRCR 43.2
- SimpleQA 11
- FrontierMath 9.6
- Humanity's Last Exam 8.7
Its lab's numbers next to 5 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 | What differs |
|---|---|---|---|---|
| SWE-bench Verified | 54.7% SWE-bench Verified (477 of 500 tasks) | 34.8% Leaderboard, medium, mini-SWE-agent | +20 pts | The lab evaluates 477 tasks, while the board reports a mini-SWE-agent run at medium reasoning effort. |
| GPQA Diamond | 71.2% GPQA diamond (no tools) | 69.4% Epoch AI run, high | +1.8 pts | |
| HMMT 2025 | 75.6% HMMT 2025 (no tools) | 74.2% Leaderboard, high | +1.4 pts | |
| FrontierMath | 9.60% FrontierMath (with python tool only) | 8.28% Leaderboard, high; task version 1.0.1, Epoch | +1.3 pts | |
| AIME 2025 | 85.2% AIME '25 (no tools) | 85% Leaderboard, high | +0.2 pts |
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.
Its system card
Every result in the longer documents the lab published with it. 8 of them aren't in the launch post.
Hallucination
- LongFact-Concepts 0.9
- LongFact-Objects 3.1
- FActScore 7.8
- SimpleQA 11
- SimpleQA Hallucination Rate 31