# o4-mini benchmark scores

OpenAI · model · https://benchgap.net/model/o4-mini · data retrieved 2026-10-29

As of 2026-10-29, o4-mini (OpenAI) has measured scores on 14 benchmarks and estimated scores on 54 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 78.4% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 16.5% | measured |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.6% | measured |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 2.1% | estimated ± 10.9 pp, low confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 77.8% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 14.4% | estimated ± 6.9 pp, medium confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 66.7% | estimated ± 6.6 pp, medium confidence |
| [AA-LCR](https://benchgap.net/b/lcr/current.md) | 61.0% | measured |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 92.7% | estimated ± 2.8 pp, high confidence |
| [LongBench v2](https://benchgap.net/b/longbench-v2/current.md) | 58.6% | estimated ± 5.8 pp, low confidence |
| [τ²-bench results](https://benchgap.net/b/tau2-bench/current.md) | 55.6% | measured |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 69.2% | measured |
| [BioMysteryBench (human-difficult)](https://benchgap.net/b/biomysterybenchhumandifficult/current.md) | 11.6% | estimated ± 6.8 pp, low confidence |
| [BFCL v4](https://benchgap.net/b/bfcl-v4/current.md) | 47.1% | estimated ± 8.5 pp, low confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 11.0% | estimated ± 12.3 pp, low confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 80.6% | estimated ± 4.0 pp, high confidence |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 68.7% | measured |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 78.8% | estimated ± 8.2 pp, medium confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 16.7% | measured |
| [BBH](https://benchgap.net/b/bbh/current.md) | 95.6% | estimated ± 2.4 pp, low confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 77.6% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 90.0% | measured |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 24.8% | measured |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 97.5% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 85.9% | estimated ± 0.7 pp, medium confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 79.6% | estimated ± 2.7 pp, high confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 84.8% | estimated ± 0.6 pp, high confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 77.7% | estimated ± 14.2 pp, low confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 40.2% | estimated ± 7.0 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 0.0% | estimated ± 11.6 pp, low confidence |
| [OfficeQA Pro](https://benchgap.net/b/officeqapro/current.md) | 50.3% | estimated ± 6.8 pp, low confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 53.9% | estimated ± 5.5 pp, medium confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 66.7% | estimated ± 4.8 pp, medium confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 59.8% | estimated ± 1.2 pp, medium confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 31.1% | estimated ± 4.6 pp, high confidence |
| [Vibe Code Bench](https://benchgap.net/b/vibecodebench/current.md) | 20.2% | estimated ± 6.6 pp, low confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 76.8% | estimated ± 6.2 pp, low confidence |
| [CharXiv w/o tools](https://benchgap.net/b/charxivnotools/current.md) | 76.1% | estimated ± 2.6 pp, medium confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 88.1% | estimated ± 2.0 pp, medium confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 90.6% | estimated ± 1.0 pp, medium confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 90.9% | estimated ± 2.9 pp, low confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 59.5% | estimated ± 3.0 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 40.9% | estimated ± 2.9 pp, medium confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 76.7% | estimated ± 3.2 pp, medium confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 94.1% | estimated ± 0.8 pp, medium confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 70.7% | estimated ± 1.6 pp, high confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 79.1% | estimated ± 2.7 pp, medium confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 70.3% | estimated ± 11.2 pp, low confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 58.5% | estimated ± 8.2 pp, low confidence |
| [V*](https://benchgap.net/b/vstar/current.md) | 39.3% | estimated ± 7.5 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 79.2% | estimated ± 1.7 pp, medium confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 81.2% | estimated ± 3.7 pp, low confidence |
| [AA LiveCodeBench](https://benchgap.net/b/aa-live-code-bench/current.md) | 85.9% | measured |
| [HealthBench Hard](https://benchgap.net/b/healthbench-hard/current.md) | 6.5% | estimated ± 8.6 pp, low confidence |
| [MedXpertQA (MM)](https://benchgap.net/b/medxpertqamm/current.md) | 45.3% | estimated ± 6.5 pp, low confidence |
| [MMLU-Pro (Arcee)](https://benchgap.net/b/mmlu-pro-arcee/current.md) | 79.4% | estimated ± 4.0 pp, medium confidence |
| [BioMysteryBench (human-solvable)](https://benchgap.net/b/biomysterybenchhumansolvable/current.md) | 81.7% | estimated ± 0.6 pp, low confidence |
| [HealthBench (raw)](https://benchgap.net/b/healthbench/current.md) | 23.4% | estimated ± 6.0 pp, low confidence |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 53.9% | estimated ± 3.3 pp, medium confidence |
| [HealthBench Professional](https://benchgap.net/b/healthbenchprofessional/current.md) | 58.1% | estimated ± 4.5 pp, low confidence |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 35.8% | estimated ± 4.5 pp, medium confidence |
| [HLE-Verified](https://benchgap.net/b/hleverified/current.md) | 19.7% | estimated ± 7.1 pp, low confidence |
| [STEMBench](https://benchgap.net/b/stembench/current.md) | 2.4% | estimated ± 0.2 pp, medium confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 20.2% | measured |
| [MRCRv2](https://benchgap.net/b/mrcrv2/current.md) | 28.9% | estimated ± 11.3 pp, low confidence |
| [MMLongBench-Doc](https://benchgap.net/b/mmlongbenchdoc/current.md) | 60.4% | estimated ± 2.6 pp, low confidence |
| [MMMU-Pro w/ Python](https://benchgap.net/b/mmmupropython/current.md) | 73.0% | estimated ± 2.0 pp, high confidence |