- AIME '25 (no tools) 91.1
- FrontierMath (with python tool only) 22.1
- GPQA diamond (no tools) 82.3
- HLE (no tools) 16.7
- HMMT 2025 (no tools) 87.8
- MMMU 81.6
- MMMU-Pro (avg across standard and vision sets) 74.1
- CharXiv reasoning (python enabled) 75.5
- VideoMMMU, max frame 256 82.5
- ERQA 62.9
- SWE-Lancer: IC SWE Diamond Freelance Coding Tasks ($75K)
- SWE-bench Verified (477 of 500 tasks) 71
- Aider polyglot (diff) 71.6
- Scale MultiChallenge (o3-mini grader) 62.3
- Internal API instruction following eval (hard) 65.8
- COLLIE 98.5
- Mean of Tau2-bench airline 60.0 / retail 78.3 / telecom 74.1 70.8
- OpenAI-MRCR: 2 needle 128k 84.3
- Graphwalks bfs <128k 73.4 (parents <128k 64.3) 73.4
- BrowseComp Long Context 128k 89.4 (256k 86.0) 89.4
- VideoMME (long, with subtitle category) 78.5
- Best of LongFact-Concepts / LongFact-Objects hallucination rate, no tools (lower is better) Concepts 0.7, Objects 1.3 0.7
- FActScore hallucination rate, no tools (lower is better) 3.5
GPT-5 mini
GPT-5 mini ranks first on 3 of the 201 benchmarks with five or more models scored.
GPT-5 mini
Closed weights
- Humanity's Last Exam 19.4% #21 /47
- SWE-bench Verified 64.7% #26 /32
- MMMU-Pro 74.1% #42 /90
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 | |
|---|---|---|---|---|
| MMBench-CN v1.1 | 86.1% | #10 of 178 | Official leaderboard | |
| IFEval | 92.7% | #6 of 60 | Official leaderboard | |
| COLLIE | 98.5% | #2 of 12 | Lab model card | |
| SimpleQA Hallucination Rate | 26% | #2 of 12 | Lab model card | |
| Slop Score | 26.3 | #3 of 17 | Official leaderboard | |
| OpenAI MRCR | 84.3% | #2 of 10 | Lab model card | |
| LongFact | 0.70% | #1 of 5 | Lab model card | |
| Phare | 73.2% | #13 of 62 | Official leaderboard | |
| SnorkelSpatial | 45.5% | #6 of 27 | Official leaderboard | |
| SuperGPQA | 58.8% | #14 of 59 | Official leaderboard | |
| LLM Confabulation Leaderboard | 13.3% | #14 of 58 | Official leaderboard | |
| Wer wird Millionär? LLM Benchmark | 97889.0 | #19 of 77 | Official leaderboard | |
| Internal API instruction following (OpenAI) | 65.8% | #1 of 4 | Lab model card | |
| LongFact-Concepts | 0.90% | #1 of 4 | Lab model card | |
| Fiction.LiveBench | 69.4% | #19 of 57 | Fiction.live leaderboard, via Epoch AI | |
| Vectara Hallucination Leaderboard (HHEM) | 3.20% | #50 of 148 | Official leaderboard | |
| MultiChallenge | 59% | #17 of 42 | Official leaderboard | |
| LMArena (Elo) | 1,390 | #143 of 335 | Official leaderboard | |
| Humanity's Last Exam | 19.4% | #21 of 47 | Official leaderboard | |
| LongFact-Objects | 1.80% | #2 of 4 | Lab model card | |
| FACTS Search | 67.9% | #16 of 31 | Official leaderboard | |
| GraphWalks | 73.4% | #16 of 27 | Lab model card | |
| SimpleQA | 22% | #37 of 60 | Lab model card | |
| Longform Creative Writing (EQ-Bench) | 56.2 | #75 of 119 | Official leaderboard | |
| MultiNRC | 23.9% | #25 of 38 | Official leaderboard | |
| BrowseComp Long Context 128k | 89.4% | #2 of 3 | Lab model card | |
| FActScore | 3.50% | #2 of 3 | Lab model card | |
| Creative Writing v3 | 60.0 | #84 of 120 | Official leaderboard | |
| Structured Output Benchmark | 83.5% | #14 of 19 | Official leaderboard | |
| HUMAINE | 22 | #38 of 50 | Official leaderboard | |
| FACTS Parametric | 16.1% | #35 of 45 | Official leaderboard | |
| SkateBench v2 | 38% | #17 of 21 | Official leaderboard | |
| Vectara Hallucination Leaderboard (2025 dataset) | 12.9% | #86 of 104 | Official leaderboard | |
| SimpleQA Verified | 21.6% | #79 of 94 | Epoch AI run | |
| HealthBench Hard Hallucinations | 3.80% | #2 of 2 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH Level 5 | 97.8% | #2 of 94 | Epoch AI run | |
| GPQA Main | 75.6% | #3 of 60 | Official leaderboard | |
| SnorkelSequences | 77.6% | #2 of 25 | Official leaderboard | |
| IneqMath | 30.5% | #4 of 34 | Official leaderboard | |
| SnorkelGraph | 72.5% | #4 of 24 | Official leaderboard | |
| MATH-500 | 94.8% | #7 of 38 | Official leaderboard | |
| SciArena | 1,067 | #7 of 34 | Official leaderboard | |
| CMT-Benchmark | 24% | #3 of 11 | Official leaderboard | |
| SMT 2025 | 89.2% | #11 of 40 | Official leaderboard | |
| AIME 2025 | 91.1% | #44 of 143 | Lab model card | |
| FrontierMath | 27.2% | #18 of 55 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 86.7% | #79 of 212 | Epoch AI run | |
| FrontierMath Tier 4 | 6.25% | #24 of 55 | Epoch AI run | |
| CMIMC 2025 | 84.4% | #15 of 33 | Official leaderboard | |
| DTBench | 80.5% | #88 of 180 | Official leaderboard | |
| GPQA Diamond | 75% | #112 of 229 | Epoch AI run | |
| HMMT 2025 | 87.8% | #27 of 54 | Lab model card | |
| BRUMO 2025 | 90% | #24 of 42 | Official leaderboard | |
| ForecastBench | 0.14 | #48 of 82 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 46.7% | #54 of 86 | Official leaderboard | |
| ARC-AGI | 54.3% | #65 of 95 | Official leaderboard | |
| ARC-AGI-2 | 4.44% | #72 of 98 | Official leaderboard | |
| ProofBench | 9.00% | #45 of 59 | Official leaderboard | |
| AstaBench | 31.4% | #10 of 13 | Official leaderboard | |
| HMMT Nov 2025 | 84.2% | #17 of 22 | Official leaderboard | |
| FrontierMath Tier 4 v2 | 12.2% | #54 of 68 | Official leaderboard | |
| MathArena (Apex, IMO, USAMO) | 1.04% | #39 of 47 | Official leaderboard | |
| MathArena Apex Shortlist | 39.9% | #34 of 38 | Official leaderboard | |
| A^3-Bench | 25.3% | #7 of 7 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SWT-bench | 56.2% | #2 of 7 | Official leaderboard | |
| Aider Polyglot | 71.6% | #10 of 30 | Lab model card | |
| MMTU | 66.7% | #3 of 9 | Official leaderboard | |
| WeirdML | 52.7% | #43 of 112 | Official leaderboard | |
| ProgramBench | 0% | #11 of 25 | Official leaderboard | |
| Spider 2.0 | 41% | #11 of 23 | Official leaderboard | |
| ALE-Bench | 1,421 | #66 of 126 | Official leaderboard | |
| OpenAI PRs | 42% | #7 of 12 | Lab model card | |
| CodeClash | 1,199 | #5 of 8 | Official leaderboard | |
| IOI (Vals) | 6.75% | #36 of 55 | Official leaderboard | |
| SWE-Lancer | 51% | #7 of 10 | Lab model card | |
| Vibe Code Bench v1 | 4.87% | #12 of 17 | Official leaderboard | |
| ProgramBench almost solved | 0% | #20 of 25 | Official leaderboard | |
| PaperBench | 23% | #12 of 15 | Lab model card | |
| Vibe Code Bench | 14.2% | #97 of 120 | Official leaderboard | |
| SWE-bench Verified | 64.7% | #26 of 32 | Epoch AI run | |
| AlgoTune | 1.38× | #15 of 18 | Official leaderboard | |
| DAXBench v2 | 63% | #41 of 47 | Official leaderboard | |
| SWE-fficiency | 3.89% | #15 of 17 | Official leaderboard | |
| Data Agent Benchmark | 36.6% | #17 of 18 | Official leaderboard | |
| ProgramBench tests passed | 16% | #25 of 25 | Official leaderboard | |
| SWE-bench Multilingual | 39.7% | #13 of 13 | Official leaderboard | |
| OpenAI-Proof Q&A | 1.00% | #9 of 9 | Lab model card | |
| MLE-bench 30 | 3.00% | #8 of 8 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Elimination Game | 6 | #3 of 56 | Official leaderboard | |
| TextQuests | 12.0 | #4 of 28 | Official leaderboard | |
| LLM-WikiRace | 11% | #4 of 21 | Official leaderboard | |
| AdaPlanBench | 61.9% | #2 of 10 | Official leaderboard | |
| BFCL V4 | 55.5% | #14 of 65 | Official leaderboard | |
| SnorkelWordle | 91% | #5 of 19 | Official leaderboard | |
| LLM Chess | 759 | #34 of 123 | Official leaderboard | |
| MCPMark | 30.3% | #8 of 28 | Official leaderboard | |
| LiveResearchBench | 67.7 | #2 of 7 | Official leaderboard | |
| Terminal-Bench | 34.8% | #6 of 18 | tbench.ai, via Epoch AI | |
| LisanBench | 1561.7 | #48 of 133 | Official leaderboard | |
| SnakeBench | 26 | #73 of 188 | Official leaderboard | |
| CompileBench | 80% | #8 of 20 | Official leaderboard | |
| Step Race | 3 | #24 of 59 | Official leaderboard | |
| Chess Puzzles | 24% | #58 of 93 | Epoch AI run | |
| Game Arena Chess Openings | 484 | #7 of 11 | Official leaderboard | |
| Game Arena Five in a Row | 387 | #13 of 20 | Official leaderboard | |
| Terminal-Bench 2.0 | 34.8% | #29 of 43 | Official leaderboard | |
| Game Arena Dark Hex | 188 | #28 of 41 | Official leaderboard | |
| PinchBench | 65.2% | #33 of 48 | Official leaderboard | |
| Game Arena Dots and Boxes | 708 | #29 of 40 | Official leaderboard | |
| Game Arena Checkers | 683 | #30 of 41 | Official leaderboard | |
| tau2-bench | 70.8% | #58 of 79 | Lab model card | |
| Game Arena Bargaining | 143 | #31 of 39 | Official leaderboard | |
| Game Arena Reversi | 202 | #31 of 39 | Official leaderboard | |
| Game Arena Word Association | 83 | #32 of 40 | Official leaderboard | |
| Clocktower Radio | 1,393 | #19 of 23 | Official leaderboard | |
| Mystery Game Puzzles | 10% | #70 of 84 | Epoch AI run | |
| Game Arena Chess | 539 | #35 of 42 | Official leaderboard | |
| EnterpriseOps-Gym | 22.9% | #10 of 12 | Official leaderboard | |
| Game Arena Coin Game | 228 | #33 of 39 | Official leaderboard | |
| Game Arena Nine Men's Morris | 292 | #34 of 39 | Official leaderboard | |
| Game Arena Clobber | 43 | #35 of 39 | Official leaderboard | |
| Kaggle Game Arena | 159 | #38 of 42 | Official leaderboard | |
| tau2-bench Verified | 69.8% | #10 of 11 | Official leaderboard | |
| Toolathlon | 14.5% | #46 of 50 | Official leaderboard | |
| Game Arena Lines of Action | 138 | #37 of 39 | Official leaderboard | |
| Game Arena Ultimate Tic-Tac-Toe | 17 | #38 of 39 | Official leaderboard | |
| Game Arena Four in a Row | 0 | #43 of 43 | Official leaderboard | |
| Game Arena Go | 0 | #39 of 39 | Official leaderboard | |
| Game Arena Word Art | 0 | #39 of 39 | Official leaderboard | |
| Game Arena Poker | -49.68 | #31 of 31 | Official leaderboard | |
| Learn2Play Bench | 53.5 | #11 of 11 | Official leaderboard | |
| OpenThoughts-TBLite | 50.5% | #4 of 4 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| CaseLaw v2 | 68.5% | #4 of 53 | Official leaderboard | |
| HealthBench Consensus | 96.5% | #2 of 17 | Lab model card | |
| HealthBench | 64.1% | #4 of 31 | Lab model card | |
| LEXam | 60.3% | #4 of 30 | Official leaderboard | |
| TaxEval v2 | 75.2% | #22 of 129 | Official leaderboard | |
| FinQA (Snorkel OpenEnv environment) | 79.3% | #5 of 22 | Official leaderboard | |
| SnorkelFinance | 79.3% | #5 of 22 | Official leaderboard | |
| MedHELM | 69.0 | #3 of 13 | Official leaderboard | |
| HealthBench Hard | 40.3% | #6 of 21 | Lab model card | |
| MortgageTax | 66.9% | #29 of 87 | Official leaderboard | |
| Finance Reasoning (Snorkel) | 46.8% | #8 of 21 | Official leaderboard | |
| FailureSensorIQ | 65.3% | #10 of 24 | Official leaderboard | |
| SnorkelUnderwrite | 71.7% | #12 of 27 | Official leaderboard | |
| MedCode | 43% | #46 of 96 | Official leaderboard | |
| Vals Finance Agent | 51.9% | #26 of 49 | Official leaderboard | |
| MedScribe | 80.6% | #52 of 97 | Official leaderboard | |
| LegalBench | 81.8% | #77 of 138 | Official leaderboard | |
| CorpFin v2 | 60.2% | #69 of 119 | Official leaderboard | |
| ProfBench | 41.6% | #58 of 72 | Official leaderboard | |
| RCM-Bench-1 | 84.3% | #17 of 20 | Official leaderboard | |
| Vals Index v1 | 44.5% | #29 of 34 | Official leaderboard | |
| FoodTruck Bench | $50 | #55 of 59 | Official leaderboard | |
| Vending-Bench 2 | $-31 | #67 of 67 | Official leaderboard | |
| Vending-Bench Arena | $154 | #32 of 32 | Official leaderboard | |
| HealthBench Consensus Global Health | 0.50% | #2 of 2 | Lab model card | |
| HealthBench Consensus Urgent | 1.40% | #2 of 2 | Lab model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMStar | 73.2% | #4 of 173 | Official leaderboard | |
| MMBench-EN v1.1 | 86.2% | #11 of 178 | Official leaderboard | |
| MM-Vet | 74.6% | #12 of 164 | Official leaderboard | |
| RoboRewardBench | 0.69 | #2 of 22 | Official leaderboard | |
| Progress-Bench | 20.9 | #1 of 9 | Official leaderboard | |
| MMMU | 81.6% | #16 of 103 | Lab model card | |
| VISTA | 50.4% | #10 of 54 | Official leaderboard | |
| MeasureBench Real-world | 22% | #4 of 19 | Official leaderboard | |
| MATH-Vision (MathVision) | 71.9% | #24 of 105 | Official leaderboard | |
| MeasureBench Synthetic | 17.9% | #5 of 19 | Official leaderboard | |
| ChartMuseum | 63.3% | #6 of 21 | Official leaderboard | |
| Blueprint-Bench | 0.40 | #3 of 8 | Official leaderboard | |
| ERQA | 62.9% | #16 of 36 | Lab model card | |
| MADQA | 66.9% | #8 of 18 | Official leaderboard | |
| MMMU-Pro | 74.1% | #42 of 90 | Lab model card | |
| Video-MMMU | 82.5% | #17 of 36 | Lab model card | |
| VPCT | 40.2% | #14 of 27 | VPCT leaderboard, via Epoch AI | |
| ZeroBench | 9.00% | #40 of 76 | Official leaderboard | |
| VisFactor | 24.3% | #14 of 26 | Official leaderboard | |
| Math Kangaroo 2025 (MathArena) | 78.2% | #13 of 22 | Official leaderboard | |
| Video-MME | 78.5% | #32 of 51 | Lab model card | |
| Vision Arena | 1,185 | #87 of 136 | Official leaderboard | |
| CharXiv | 75.5% | #48 of 75 | Lab model card | |
| ParseBench | 49.9% | #33 of 44 | Official leaderboard | |
| RoboSpatial-Home | 51.3% | #3 of 4 | Official leaderboard | |
| MineBench | 1,076 | #63 of 75 | Official leaderboard | |
| ClockBench | 8.90% | #32 of 37 | Official leaderboard | |
| vCX Benchmark | 75% | #38 of 42 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Safety | 98.0 | #6 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 85.7% | #13 of 82 | Official leaderboard | |
| SimpleSafetyTests | 100% | #20 of 75 | Official leaderboard | |
| FORTRESS | 17% | #22 of 73 | Official leaderboard | |
| Capture the Flag (Collegiate) | 36% | #4 of 13 | Lab model card | |
| Challenging prompts from red teamers with biosafety-relevant PhDs | 93.6% | #1 of 3 | Lab model card | |
| Molecular Biology Capabilities Test | 51.5% | #34 of 90 | Official leaderboard | |
| World-Class Bio | 49.2% | #30 of 74 | Official leaderboard | |
| Human Pathogen Capabilities Test | 54.2% | #38 of 86 | Official leaderboard | |
| ProtocolQA Open-Ended | 37% | #12 of 27 | Lab model card | |
| Anthropic Red Team | 99.1% | #34 of 75 | Official leaderboard | |
| KORA | 43.2% | #21 of 42 | Official leaderboard | |
| Capture the Flag (Professional) | 23% | #13 of 21 | Lab model card | |
| Filtered, adversarial sample of production prompts | 96.8% | #2 of 3 | Lab model card | |
| Tacit Knowledge and Troubleshooting | 68% | #22 of 30 | Lab model card | |
| BrowseSafe-Bench | 85.4% | #3 of 4 | Official leaderboard | |
| TroubleshootingBench | 26% | #17 of 20 | Lab model card | |
| nocot-bench (NCRI) | 50.7 | #162 of 185 | Official leaderboard | |
| Multimodal Troubleshooting Virology | 39% | #26 of 27 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Capabilities | 81.9 | #1 of 60 | Official leaderboard | |
| OpenVLM Leaderboard | 78.0 | #4 of 173 | Official leaderboard | |
| ACCoRD | 71.5 | #42 of 152 | Official leaderboard | |
| Conceptual Reasoning Index | 48.3 | #76 of 151 | Official leaderboard | |
| LMCA | 34.2% | #81 of 147 | Official leaderboard | |
| CAIS Vision Capabilities Index | 47.5 | #32 of 53 | Official leaderboard | |
| SAGE (Vals) | 43% | #52 of 81 | Official leaderboard | |
| CAIS Risk Index | 58.5 | #48 of 67 | Official leaderboard | |
| CAIS Text Capabilities Index | 18.5 | #54 of 68 | Official leaderboard |
Its lab's numbers put it at 142.0, 4.1 points below its ECI
The Self-Reported Index fits one score to the 26 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 139.5 to 144.6. How we compute it.
- COLLIE 98.5
- HealthBench Consensus 96.5
- AIME 2025 91.1
- HMMT 2025 87.8
- OpenAI MRCR 84.3
- Video-MMMU 82.5
- GPQA Diamond 82.3
- MMMU 81.6
- Video-MME 78.5
- CharXiv 75.5
- MMMU-Pro 74.1
- GraphWalks 73.4
- SWE-bench Verified 72
- Aider Polyglot 71.6
- tau2-bench 70.8
- HealthBench 64.1
- MultiChallenge 62.3
- SWE-Lancer 51
- OpenAI PRs 42
- HealthBench Hard 40.3
- PaperBench 23
- FrontierMath 22.1
- SimpleQA 22
- Humanity's Last Exam 16.7
- MLE-bench 30 3
- OpenAI-Proof Q&A 1
Its lab's numbers next to 7 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 |
|---|---|---|---|
| SWE-bench Verified | 72% SWE-bench Verified (n=477), pass@1, gpt-5-thinking-mini no browsing launch candidate (Figure 19) | 59.8% Leaderboard, medium, mini-SWE-agent | +12 pts |
| GPQA Diamond | 82.3% GPQA diamond (no tools) | 75% Epoch AI run, high | +7.3 pts |
| FrontierMath | 22.1% FrontierMath (with python tool only) | 27.2% Leaderboard, high; task version 1.1.0, Epoch | −5.1 pts |
| AIME 2025 | 91.1% AIME '25 (no tools) | 87.5% Leaderboard, high | +3.6 pts |
| MultiChallenge | 62.3% Scale MultiChallenge (o3-mini grader) | 59% Leaderboard, thinking | +3.3 pts |
| Humanity's Last Exam | 16.7% HLE (no tools) | 19.4% Leaderboard | −2.7 pts |
| HMMT 2025 | 87.8% HMMT 2025 (no tools) | 89.2% Leaderboard, high | −1.4 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. 28 of them aren't in the launch post.
Health
Hallucination
- LongFact-Concepts 0.9
- LongFact-Objects 1.8
- FActScore 3.7
- SimpleQA 22
- SimpleQA Hallucination Rate 26
Safety
Robustness
Bio and chem risk
Cyber risk
AI R&D risk
- SWE-bench Verified 72
- OpenAI PRs 42
- MLE-bench 30 3
- SWE-Lancer 51
- PaperBench 23
- OpenAI-Proof Q&A 1