OpenAI · model
GPT-5.1 benchmark scores
As of 2026-10-07, GPT-5.1 (OpenAI) has measured scores on 16 benchmarks and estimated scores on 91 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 87.3% | measured |
| AA-HLE | 28.5% | measured |
| AA-SciCode | 44.6% | estimated ± 3.2 pp, high confidence |
| AIME26 | 95.5% | estimated ± 0.6 pp, medium confidence |
| Artificial Analysis Intelligence Index | 24.7% | measured |
| CritPt | 4.9% | measured |
| GDPval-AA | 16.5% | measured |
| GPQA Diamond | 85.8% | estimated ± 1.4 pp, medium confidence |
| HLE | 42.2% | estimated ± 6.4 pp, medium confidence |
| IFBench | 71.4% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 80.0% | measured |
| LiveCodeBench v6 | 85.2% | estimated ± 3.1 pp, high confidence |
| AA-Omniscience Accuracy | 37.7% | measured |
| SciCode | 44.6% | estimated ± 4.7 pp, high confidence |
| BrowseComp | 58.9% | estimated ± 5.7 pp, medium confidence |
| HLE w/ tools | 40.1% | estimated ± 6.1 pp, low confidence |
| IFEval | 93.6% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, low confidence |
| τ²-bench results | 81.9% | measured |
| AA Coding Index | 49.4% | measured |
| AA-MMMU-Pro | 75.5% | measured |
| APEX-Agents | 15.7% | estimated ± 10.0 pp, low confidence |
| APEX-Agents-AA | 15.4% | estimated ± 9.1 pp, medium confidence |
| BioMysteryBench (human-difficult) | 39.7% | estimated ± 5.9 pp, low confidence |
| DeepSearchQA | 75.3% | estimated ± 8.4 pp, medium confidence |
| SWE-bench Verified | 76.3% | estimated ± 4.4 pp, high confidence |
| AutomationBench | 28.4% | estimated ± 9.7 pp, low confidence |
| BFCL v4 | 71.5% | estimated ± 2.6 pp, high confidence |
| CyberGym | 37.8% | estimated ± 6.2 pp, low confidence |
| JobBench | 10.4% | estimated ± 8.6 pp, low confidence |
| SWE-bench Pro | 51.8% | estimated ± 6.0 pp, medium confidence |
| τ³-bench results | 70.0% | estimated ± 8.9 pp, medium confidence |
| WideResearch | 61.2% | estimated ± 5.9 pp, low confidence |
| AA Agentic Index | 11.0% | estimated ± 2.8 pp, high confidence |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| FrontierMath v2 (Tier 4) | 12.5% | measured |
| FrontierMath v2 (Tiers 1-3) | 31.0% | measured |
| GPQA | 88.1% | estimated ± 1.7 pp, high confidence |
| AA-IFBench | 72.9% | measured |
| Gert Labs | 41.2% | measured |
| AA-AnalystAgent | 11.0% | estimated ± 12.0 pp, low confidence |
| AA EnterpriseOps-Gym | 25.2% | estimated ± 3.6 pp, low confidence |
| ApprenticeBench | 0.0% | estimated ± 3.1 pp, low confidence |
| ARC-AGI-1 | 72.8% | measured |
| ARC-AGI-2 | 28.3% | estimated ± 5.7 pp, medium confidence |
| CursorBench 3.1 | 47.9% | estimated ± 4.8 pp, low confidence |
| CursorBench 3.2 | 34.3% | estimated ± 4.4 pp, medium confidence |
| FrontierCode 1.1 Main | 20.8% | estimated ± 3.8 pp, medium confidence |
| FrontierSWE v2 | 3.5% | estimated ± 14.8 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| OSWorld-Verified | 54.9% | estimated ± 5.9 pp, medium confidence |
| Vals GPQA Diamond | 85.3% | estimated ± 2.3 pp, high confidence |
| Vals MMLU-Pro | 84.9% | estimated ± 1.8 pp, high confidence |
| Vals SWE-bench | 69.8% | estimated ± 5.4 pp, medium confidence |
| AA AutomationBench | 3.8% | estimated ± 7.0 pp, medium confidence |
| GDP.pdf | 9.4% | estimated ± 5.4 pp, medium confidence |
| AA ITBench | 56.3% | estimated ± 3.6 pp, low confidence |
| AA Tau3 Banking | 22.0% | estimated ± 5.8 pp, medium confidence |
| CursorBench 4.0 | 15.7% | estimated ± 1.6 pp, medium confidence |
| CWE-bench v1 | 25.2% | estimated ± 6.9 pp, low confidence |
| DeepSWE | 13.3% | estimated ± 6.4 pp, low confidence |
| HLE w/o tools | 25.5% | estimated ± 5.7 pp, medium confidence |
| OSWorld 2.0 | 0.0% | estimated ± 4.5 pp, low confidence |
| PostTrainBench v1.1 | 10.7% | estimated ± 6.1 pp, low confidence |
| Toolathlon-Verified | 37.8% | estimated ± 2.4 pp, medium confidence |
| Vibe Code Bench | 24.6% | measured |
| CharXiv | 82.4% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 79.9% | estimated ± 2.4 pp, high confidence |
| C-Eval | 92.9% | estimated ± 1.0 pp, medium confidence |
| Claw-Eval | 55.9% | estimated ± 6.8 pp, low confidence |
| HMMT Nov 2025 | 93.2% | estimated ± 2.6 pp, medium confidence |
| MathVision | 87.7% | estimated ± 4.9 pp, high confidence |
| MCP Atlas | 60.2% | estimated ± 11.1 pp, low confidence |
| MCP-Tasks | 74.7% | estimated ± 8.2 pp, low confidence |
| MMAnswerBench | 84.7% | estimated ± 1.3 pp, medium confidence |
| MMLU-Redux | 96.4% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro | 77.2% | estimated ± 4.4 pp, medium confidence |
| NL2Repo | 35.6% | estimated ± 5.1 pp, medium confidence |
| QwenClawBench | 55.9% | estimated ± 6.0 pp, low confidence |
| ScreenSpot Pro | 74.2% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 79.9% | estimated ± 7.5 pp, medium confidence |
| Toolathlon | 27.2% | estimated ± 6.3 pp, low confidence |
| ERQA | 64.2% | estimated ± 3.9 pp, high confidence |
| HealthBench Hard | 17.4% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 73.0% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 95.5% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 72.1% | estimated ± 3.0 pp, low confidence |
| ResearchClawBench | 13.9% | estimated ± 2.2 pp, medium confidence |
| SWE-Rebench | 48.8% | estimated ± 6.5 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| FrontierMath (legacy) | 31.8% | estimated ± 0.7 pp, low confidence |
| BioMysteryBench (human-solvable) | 81.8% | estimated ± 0.6 pp, low confidence |
| DRACO | 68.3% | estimated ± 3.0 pp, low confidence |
| FrontierCode 1.1 Extended | 43.6% | estimated ± 3.4 pp, low confidence |
| HealthBench (raw) | 37.6% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 47.9% | estimated ± 2.5 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 48.8% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 37.4% | estimated ± 1.3 pp, low confidence |
| MMMU | 83.4% | estimated ± 0.9 pp, high confidence |
| LiveCodeBench | 97.2% | estimated ± 8.9 pp, low confidence |
| OpenHarmony Bench | 47.2% | estimated ± 2.8 pp, medium confidence |
| MMLU | 92.9% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro w/ Python | 79.0% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 85.2% | estimated ± 1.2 pp, medium confidence |
| OmniDocBench 1.5 | 90.3% | estimated ± 6.4 pp, low confidence |