OpenAI · model
o1-pro benchmark scores
As of 2026-10-07, o1-pro (OpenAI) has measured scores on 2 benchmarks and estimated scores on 25 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 77.5% | estimated ± 5.4 pp, medium confidence |
| AA-HLE | 10.2% | estimated ± 4.4 pp, high confidence |
| Artificial Analysis Intelligence Index | 12.4% | measured |
| CritPt | 0.4% | estimated ± 3.7 pp, high confidence |
| GPQA Diamond | 79.0% | estimated ± 0.4 pp, high confidence |
| HLE | 18.6% | estimated ± 8.2 pp, low confidence |
| AA-Omniscience Accuracy | 19.5% | estimated ± 7.5 pp, medium confidence |
| BioMysteryBench (human-difficult) | 35.2% | estimated ± 8.1 pp, low confidence |
| MMLU-Pro | 83.0% | estimated ± 3.0 pp, high confidence |
| GPQA | 79.0% | measured |
| ARC-AGI-1 | 7.5% | estimated ± 5.4 pp, low confidence |
| ARC-AGI-2 | 0.0% | estimated ± 11.6 pp, low confidence |
| Vals GPQA Diamond | 68.8% | estimated ± 4.8 pp, medium confidence |
| Vals MMLU-Pro | 65.7% | estimated ± 1.2 pp, medium confidence |
| HLE w/o tools | 11.4% | estimated ± 4.9 pp, high confidence |
| C-Eval | 86.7% | estimated ± 0.9 pp, low confidence |
| MMLU-Redux | 92.1% | estimated ± 2.1 pp, high confidence |
| SuperGPQA | 58.5% | estimated ± 9.2 pp, low confidence |
| HealthBench Hard | 0.0% | estimated ± 5.1 pp, low confidence |
| MMLU-Pro (Arcee) | 79.9% | estimated ± 5.4 pp, low confidence |
| ARC-AGI-3 | 0.0% | estimated ± 2.1 pp, medium confidence |
| BioMysteryBench (human-solvable) | 3.5% | estimated ± 1.0 pp, low confidence |
| HealthBench (raw) | 18.8% | estimated ± 6.7 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 29.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 28.8% | estimated ± 5.0 pp, low confidence |
| MMLU | 89.0% | estimated ± 1.9 pp, medium confidence |