Model record
Mistral Small 3.1 model overview
Mistral Small 3.1 is a open weights model from Mistral AI. It was released on March 17, 2025. Its strongest case is apache-licensed weights, while buyers should account for trails frontier models on complex reasoning.
Mistral Small 3.1 benchmark snapshot
| Evaluation | Reported score | What it probes |
|---|---|---|
| MMLU-Pro | 66.8 | Broad knowledge and multi-step reasoning |
| GPQA Diamond | 46.8 | Graduate-level science reasoning |
| SWE-bench Verified | Not reported | Verified real-repository issue resolution |
| LiveCodeBench | 32.1 | Contamination-aware competitive programming |
| SWE-Bench Pro | Not reported | Longer, harder professional software tasks |
| Artificial Analysis Intelligence Index | Not reported | Composite third-party capability index; version matters |
Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.
Mistral Small 3.1 strengths
- Apache-licensed weights
- Fits on a single high-memory GPU when quantized
- Low serving cost
Mistral Small 3.1 limitations
- Trails frontier models on complex reasoning
- Smaller ecosystem than Llama
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.
Compare Mistral Small 3.1
- Mistral Small 3.1 vs DeepSeek R1 — review fit, trade-offs, listed prices, and an evaluation plan.
Source record
Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.
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