DeepSeek / MODEL EVIDENCE

DeepSeek V3 (03/24/2025)

10 benchmarks · 10 observations · 10 sources

Scores at a glance

10 benchmarks · large dot: DeepSeek V3 (03/24/2025); small dots: closest models where reported

32.9788.56

DeepSeek V3 (03/24/2025) · LegalBench · Accuracy ↗

25.496.4

DeepSeek V3 (03/24/2025) · MATH 500 · Accuracy ↗

30.2892.38

DeepSeek V3 (03/24/2025) · MMLU Pro · Accuracy ↗

Closest models by score

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

8.8 percentile-point gap

10 of 10 shared benchmark comparisons

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. GPQA Diamond — evaluation methodology and results ↗

    Vals AI · 2026

  4. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  5. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  6. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  7. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  8. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  9. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  10. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

DeepSeek V3 (03/24/2025)