# Grok 2 mini benchmark scores

xAI · model · https://benchgap.net/model/grok-2-mini · data retrieved 2026-10-29

As of 2026-10-29, Grok 2 mini (xAI) has measured scores on 4 benchmarks and estimated scores on 31 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 48.8% | estimated ± 6.3 pp, medium confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 4.4% | estimated ± 5.0 pp, high confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | estimated ± 3.4 pp, medium confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 51.4% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 2.3% | estimated ± 6.9 pp, low confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 49.3% | estimated ± 3.0 pp, high confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 72.0% | measured |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 10.8% | estimated ± 2.1 pp, high confidence |
| [BBH](https://benchgap.net/b/bbh/current.md) | 91.2% | estimated ± 2.4 pp, low confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 51.0% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 86.2% | measured |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 18.3% | estimated ± 1.5 pp, high confidence |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 73.2% | estimated ± 1.7 pp, high confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 63.2% | measured |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 81.7% | estimated ± 1.0 pp, low confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 11.6% | estimated ± 5.2 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 87.7% | estimated ± 2.0 pp, high confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 82.1% | estimated ± 1.2 pp, medium confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 93.5% | estimated ± 3.2 pp, high confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 80.3% | estimated ± 5.8 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 47.1% | estimated ± 5.2 pp, low confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 60.4% | estimated ± 3.6 pp, high confidence |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 78.2% | estimated ± 2.4 pp, high confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 85.5% | estimated ± 0.6 pp, high confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 49.1% | estimated ± 2.3 pp, high confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 76.8% | estimated ± 3.6 pp, high confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 53.0% | estimated ± 7.3 pp, low confidence |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 46.5% | estimated ± 7.1 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 51.5% | estimated ± 12.1 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 66.9% | estimated ± 1.3 pp, high confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 73.7% | estimated ± 3.2 pp, high confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 54.0% | estimated ± 3.8 pp, high confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 71.4% | estimated ± 7.2 pp, low confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 22.5% | estimated ± 13.1 pp, low confidence |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 62.1% | estimated ± 3.8 pp, medium confidence |