# Magistral Small benchmark scores

Other · model · https://benchgap.net/model/magistral-small · data retrieved 2026-10-29

As of 2026-10-29, Magistral Small (Other) has measured scores on 13 benchmarks and estimated scores on 37 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 64.1% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 7.6% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 14.8% | estimated ± 4.7 pp, medium confidence |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 64.8% | estimated ± 4.6 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | measured |
| [GDPval-AA](https://benchgap.net/b/gdpvalaanormalized/current.md) | 0.0% | estimated ± 10.9 pp, low confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 68.5% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 8.0% | estimated ± 6.9 pp, medium confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 53.6% | estimated ± 6.6 pp, low confidence |
| [AA-LCR](https://benchgap.net/b/lcr/current.md) | 0.0% | measured |
| [LiveCodeBench v6](https://benchgap.net/b/livecodebench-v6/current.md) | 47.4% | measured |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 15.5% | estimated ± 4.9 pp, medium confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 78.1% | estimated ± 2.8 pp, high confidence |
| [LongBench v2](https://benchgap.net/b/longbench-v2/current.md) | 47.1% | estimated ± 5.8 pp, low confidence |
| [τ²-bench results](https://benchgap.net/b/tau2-bench/current.md) | 26.6% | measured |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 5.1% | estimated ± 5.6 pp, medium confidence |
| [BioMysteryBench (human-difficult)](https://benchgap.net/b/biomysterybenchhumandifficult/current.md) | 0.0% | estimated ± 6.8 pp, low confidence |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 57.5% | estimated ± 9.2 pp, low confidence |
| [BFCL v4](https://benchgap.net/b/bfcl-v4/current.md) | 25.7% | estimated ± 8.5 pp, low confidence |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 0.0% | estimated ± 6.0 pp, low confidence |
| [AA Agentic Index](https://benchgap.net/b/aa-agentic-index/current.md) | 1.0% | estimated ± 12.3 pp, low confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 70.0% | estimated ± 4.1 pp, high confidence |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 24.8% | measured |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 70.7% | measured |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 8.2% | measured |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 68.2% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 83.9% | estimated ± 0.7 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 18.0% | measured |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 95.9% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 83.3% | estimated ± 0.7 pp, medium confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 83.2% | estimated ± 0.6 pp, medium confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 62.8% | measured |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 55.2% | estimated ± 7.6 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 30.7% | estimated ± 14.6 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 81.3% | estimated ± 5.3 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 83.9% | estimated ± 2.1 pp, medium confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 28.7% | estimated ± 4.6 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 88.0% | estimated ± 1.0 pp, low confidence |
| [HMMT Feb 2025](https://benchgap.net/b/hmmtfeb2025/current.md) | 29.7% | estimated ± 3.1 pp, medium confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 93.3% | estimated ± 0.8 pp, low confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 48.3% | estimated ± 8.2 pp, low confidence |
| [HealthBench Hard](https://benchgap.net/b/healthbench-hard/current.md) | 0.0% | estimated ± 8.6 pp, low confidence |
| [MMLU-Pro (Arcee)](https://benchgap.net/b/mmlu-pro-arcee/current.md) | 77.1% | estimated ± 4.0 pp, low confidence |
| [BioMysteryBench (human-solvable)](https://benchgap.net/b/biomysterybenchhumansolvable/current.md) | 81.7% | estimated ± 0.6 pp, low confidence |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 53.9% | estimated ± 3.3 pp, medium confidence |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 49.7% | estimated ± 8.6 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) | 15.4% | estimated ± 4.3 pp, medium confidence |
| [MRCRv2](https://benchgap.net/b/mrcrv2/current.md) | 22.8% | estimated ± 11.3 pp, low confidence |