WeirdML (v2) ↗33.13%
Mistral Medium 3.1 · WeirdML · Accuracy · % ↗
Mistral / MODEL EVIDENCE
Mistral Medium 3.1
6 benchmarks · 6 observations · 6 sources · released 2025-08-12
Scores at a glance
6 benchmarks · large dot: Mistral Medium 3.1; small dots: closest models where reported
CritPt ↗0%
Mistral Medium 3.1 · CritPt · Accuracy · % ↗
LMCA ↗19.05%
Mistral Medium 3.1 · LMCA · Score · % ↗
DTBench ↗67.47%
Mistral Medium 3.1 · DTBench · Accuracy · % ↗
SciCode ↗32.41%
Mistral Medium 3.1 · SciCode · Score · % ↗
ALE-Bench ↗210.18 Performance points
mistral-medium-3.1 · Average contest performance ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
Qwen3-14B →Qwen
4 of 6 shared benchmark comparisons
Mistral Large 3 →Mistral
4 of 6 shared benchmark comparisons
5 of 6 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.
- SciCode Benchmark | Artificial Analysis ↗
- DTBench — Conceptual Reasoning Index ↗
- LMCA — Conceptual Reasoning Index ↗
- Ale Bench — methodology and published results ↗
- CritPt v1 ↗
- WeirdML ↗
Names used in source tables
Mistral Medium 3.1 · mistral-medium-3.1