OpenAI · model
o3-mini benchmark scores
As of 2026-10-07, o3-mini (OpenAI) has measured scores on 8 benchmarks and estimated scores on 45 more.
| Benchmark | Score | Source |
|---|---|---|
| AA-GPQA Diamond | 74.8% | measured |
| AA-HLE | 7.9% | measured |
| AA-SciCode | 32.8% | estimated ± 3.9 pp, high confidence |
| Artificial Analysis Intelligence Index | 12.5% | measured |
| CritPt | 0.3% | estimated ± 2.3 pp, high confidence |
| GDPval-AA | 0.0% | estimated ± 12.5 pp, low confidence |
| GPQA Diamond | 77.2% | estimated ± 0.4 pp, high confidence |
| HLE | 17.0% | estimated ± 8.2 pp, low confidence |
| IFBench | 71.1% | estimated ± 9.7 pp, medium confidence |
| LiveCodeBench v6 | 71.7% | estimated ± 8.1 pp, low confidence |
| AA-Omniscience Accuracy | 20.8% | estimated ± 1.8 pp, medium confidence |
| SciCode | 33.0% | estimated ± 3.8 pp, high confidence |
| IFEval | 93.9% | measured |
| τ²-bench results | 28.7% | measured |
| AA Coding Index | 23.8% | estimated ± 5.1 pp, medium confidence |
| APEX-Agents-AA | 1.6% | estimated ± 11.4 pp, low confidence |
| BioMysteryBench (human-difficult) | 35.2% | estimated ± 8.1 pp, low confidence |
| SWE-bench Verified | 49.3% | measured |
| BFCL v4 | 44.9% | estimated ± 9.8 pp, low confidence |
| SWE-bench Pro | 24.0% | estimated ± 3.2 pp, high confidence |
| AA Agentic Index | 0.1% | estimated ± 12.3 pp, low confidence |
| MMLU-Pro | 82.3% | estimated ± 3.0 pp, high confidence |
| GPQA | 77.2% | measured |
| AA-IFBench | 72.8% | estimated ± 8.2 pp, medium confidence |
| AA EnterpriseOps-Gym | 1.2% | estimated ± 3.6 pp, low confidence |
| ARC-AGI-1 | 7.6% | estimated ± 5.4 pp, low confidence |
| ARC-AGI-2 | 0.0% | estimated ± 11.6 pp, low confidence |
| FrontierCode 1.1 Main | 0.0% | estimated ± 2.7 pp, low confidence |
| Vals GPQA Diamond | 66.1% | estimated ± 4.8 pp, medium confidence |
| Vals LiveCodeBench | 20.3% | estimated ± 9.9 pp, low confidence |
| Vals MMLU-Pro | 58.0% | estimated ± 1.2 pp, medium confidence |
| Vals SWE-bench | 34.1% | estimated ± 6.8 pp, low confidence |
| AA ITBench | 99.8% | estimated ± 3.6 pp, low confidence |
| HLE w/o tools | 9.9% | estimated ± 4.9 pp, high confidence |
| Vibe Code Bench | 0.6% | estimated ± 8.1 pp, low confidence |
| C-Eval | 85.6% | estimated ± 0.9 pp, low confidence |
| MCP-Tasks | 100.0% | estimated ± 8.2 pp, low confidence |
| MMLU-Redux | 91.6% | estimated ± 2.1 pp, high confidence |
| NL2Repo | 5.4% | estimated ± 6.1 pp, low confidence |
| SuperGPQA | 55.8% | 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 |
| SWE-Rebench | 57.0% | estimated ± 3.6 pp, low confidence |
| ARC-AGI-3 | 0.0% | estimated ± 2.1 pp, medium confidence |
| BioMysteryBench (human-solvable) | 3.6% | estimated ± 1.0 pp, low confidence |
| HealthBench (raw) | 12.1% | estimated ± 6.4 pp, low confidence |
| HealthBench (length-adjusted) | 53.9% | estimated ± 3.7 pp, low confidence |
| HealthBench Professional | 26.7% | estimated ± 4.8 pp, low confidence |
| HealthBench Professional (raw) | 25.7% | estimated ± 5.0 pp, low confidence |
| HLE-Verified | 15.3% | estimated ± 2.0 pp, low confidence |
| LABBench2 | 56.3% | estimated ± 1.8 pp, low confidence |
| LiveCodeBench | 63.9% | estimated ± 10.2 pp, low confidence |
| MMLU | 86.9% | measured |