OpenAI · model
o1-mini benchmark scores
As of 2026-10-29, o1-mini (OpenAI) has measured scores on 7 benchmarks and estimated scores on 21 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 60.3% | measured |
| AA-HLE | 3.6% | measured |
| CritPt | 0.0% | estimated ± 0.3 pp, high confidence |
| GPQA Diamond | 60.3% | estimated ± 1.2 pp, high confidence |
| HLE | 4.7% | estimated ± 6.9 pp, low confidence |
| MMLU-Pro | 72.9% | estimated ± 4.0 pp, high confidence |
| AIME 2024 | 36.7% | estimated ± 8.2 pp, medium confidence |
| Artificial Analysis Intelligence Index | 9.8% | measured |
| BBH | 90.1% | estimated ± 2.4 pp, low confidence |
| GPQA | 60.0% | measured |
| MMLU | 85.2% | measured |
| AA-Omniscience Accuracy | 17.1% | estimated ± 1.5 pp, high confidence |
| MATH-500 | 90.0% | measured |
| MMMLU | 78.3% | estimated ± 1.7 pp, high confidence |
| AA MMLU-Pro | 83.4% | estimated ± 1.0 pp, low confidence |
| AIME 2025 | 34.7% | estimated ± 14.2 pp, low confidence |
| ARC-AGI-1 | 60.0% | estimated ± 8.1 pp, low confidence |
| ARC-AGI-2 | 30.7% | estimated ± 14.6 pp, low confidence |
| Vals GPQA Diamond | 81.3% | estimated ± 5.3 pp, low confidence |
| Vals MMLU-Pro | 83.9% | estimated ± 2.1 pp, medium confidence |
| HLE w/o tools | 29.0% | estimated ± 4.6 pp, medium confidence |
| ARC-AGI-3 | 1.4% | estimated ± 7.7 pp, low confidence |
| C-Eval | 88.5% | estimated ± 1.0 pp, medium confidence |
| MMLU-Redux | 90.3% | estimated ± 1.2 pp, medium confidence |
| SuperGPQA | 42.5% | estimated ± 8.2 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.3 pp, medium confidence |
| HealthBench Professional (raw) | 50.5% | estimated ± 8.6 pp, low confidence |
| SimpleQA | 7.6% | measured |