OpenAI · model
GPT-5.1-Codex-Max benchmark scores
As of 2026-10-07, GPT-5.1-Codex-Max (OpenAI) has measured scores on 11 benchmarks and estimated scores on 58 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 86.0% | measured |
| AA-HLE | 25.7% | measured |
| AA-SciCode | 49.0% | estimated ± 3.8 pp, high confidence |
| Artificial Analysis Intelligence Index | 23.7% | measured |
| CritPt | 5.7% | measured |
| GDPval-AA | 15.6% | estimated ± 12.5 pp, low confidence |
| GPQA Diamond | 84.6% | estimated ± 2.2 pp, high confidence |
| HLE | 38.5% | estimated ± 9.5 pp, medium confidence |
| IFBench | 68.6% | estimated ± 6.9 pp, medium confidence |
| AA-LCR | 69.3% | measured |
| AA-Omniscience Accuracy | 39.9% | measured |
| SciCode | 43.9% | estimated ± 2.9 pp, low confidence |
| IFEval | 93.4% | estimated ± 1.3 pp, high confidence |
| LongBench v2 | 61.5% | estimated ± 5.9 pp, medium confidence |
| τ²-bench results | 83.0% | measured |
| AA Coding Index | 50.7% | estimated ± 6.8 pp, medium confidence |
| AA-MMMU-Pro | 72.5% | measured |
| APEX-Agents-AA | 2.3% | estimated ± 11.4 pp, low confidence |
| BioMysteryBench (human-difficult) | 40.9% | estimated ± 5.9 pp, low confidence |
| SWE-bench Verified | 75.8% | estimated ± 4.4 pp, high confidence |
| BFCL v4 | 59.0% | estimated ± 9.8 pp, low confidence |
| SWE-bench Pro | 56.5% | estimated ± 2.1 pp, high confidence |
| AA Agentic Index | 20.1% | estimated ± 12.3 pp, low confidence |
| MMLU-Pro | 85.7% | estimated ± 3.5 pp, high confidence |
| GPQA | 87.8% | estimated ± 3.2 pp, high confidence |
| AA-IFBench | 70.0% | measured |
| AA EnterpriseOps-Gym | 26.8% | estimated ± 3.6 pp, low confidence |
| ARC-AGI-1 | 69.4% | estimated ± 5.4 pp, medium confidence |
| ARC-AGI-2 | 29.2% | estimated ± 14.2 pp, low confidence |
| CursorBench 3.2 | 59.1% | estimated ± 7.2 pp, low confidence |
| FrontierCode 1.1 Main | 9.2% | estimated ± 4.3 pp, low confidence |
| OfficeQA Pro | 50.3% | estimated ± 7.2 pp, low confidence |
| Vals GPQA Diamond | 81.8% | estimated ± 7.4 pp, medium confidence |
| Vals LiveCodeBench | 83.6% | measured |
| Vals MMLU-Pro | 86.8% | estimated ± 2.2 pp, high confidence |
| Vals SWE-bench | 73.2% | estimated ± 6.3 pp, medium confidence |
| VulcanBench v3 | 82.7% | estimated ± 5.6 pp, low confidence |
| AA ITBench | 55.1% | estimated ± 3.6 pp, low confidence |
| HLE w/o tools | 22.6% | estimated ± 5.7 pp, medium confidence |
| PostTrainBench v1.1 | 19.9% | estimated ± 10.5 pp, low confidence |
| Vibe Code Bench | 22.2% | measured |
| CharXiv | 75.5% | estimated ± 7.5 pp, low confidence |
| CharXiv w/o tools | 78.0% | estimated ± 2.4 pp, medium confidence |
| C-Eval | 92.5% | estimated ± 1.0 pp, medium confidence |
| MathVision | 81.7% | estimated ± 4.9 pp, high confidence |
| MCP-Tasks | 74.0% | estimated ± 8.2 pp, low confidence |
| MMLU-Redux | 96.6% | estimated ± 1.1 pp, medium confidence |
| MMMU-Pro | 75.8% | estimated ± 4.4 pp, medium confidence |
| ScreenSpot Pro | 71.2% | estimated ± 10.7 pp, low confidence |
| SuperGPQA | 81.1% | estimated ± 7.5 pp, medium confidence |
| ERQA | 51.8% | estimated ± 3.9 pp, high confidence |
| HealthBench Hard | 15.1% | estimated ± 7.7 pp, low confidence |
| MedXpertQA (MM) | 64.5% | estimated ± 6.5 pp, low confidence |
| MMLU-Pro (Arcee) | 98.5% | estimated ± 4.0 pp, low confidence |
| React Native Evals | 70.3% | estimated ± 3.0 pp, low confidence |
| SWE-Rebench | 41.1% | estimated ± 6.5 pp, low confidence |
| ARC-AGI-3 | 1.7% | estimated ± 3.4 pp, medium confidence |
| BioMysteryBench (human-solvable) | 81.8% | estimated ± 0.6 pp, low confidence |
| HealthBench (raw) | 34.6% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 57.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 46.0% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 71.0% | estimated ± 1.8 pp, low confidence |
| MMMU | 81.0% | estimated ± 0.9 pp, high confidence |
| MMLU | 93.3% | estimated ± 1.1 pp, low confidence |
| MMMU-Pro w/ Python | 77.0% | estimated ± 1.6 pp, high confidence |
| RealWorldQA | 83.5% | estimated ± 1.2 pp, low confidence |
| OmniDocBench 1.5 | 10.9% | estimated ± 6.4 pp, low confidence |