Mistral / MODEL EVIDENCE

Mistral Medium 3.1 (05/2025)

10 benchmarks · 11 observations · 11 sources

Scores at a glance

10 benchmarks · large dot: Mistral Medium 3.1 (05/2025); small dots: closest models where reported

32.9788.56

Mistral Medium 3.1 (05/2025) · LegalBench · Accuracy ↗

28.6373.19

Mistral Medium 3.1 (05/2025) · CorpFin · Accuracy ↗

25.496.4

Mistral Medium 3.1 (05/2025) · MATH 500 · Accuracy ↗

30.2892.38

Mistral Medium 3.1 (05/2025) · MMLU Pro · Accuracy ↗

22.7790.64

Mistral Medium 3.1 (05/2025) · MMMU Pro · Accuracy ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  2. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  3. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  4. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  5. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  6. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  7. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  8. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  9. MMMU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  10. MortgageTax — evaluation methodology and results ↗

    Vals AI · 2026

  11. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

Mistral Medium 3.1 (05/2025)