Model comparison
Mistral Medium 3.1 vs Mistral Small
Mistral Small is the stronger model overall, scoring 33.4 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where Mistral Small leads 19.8 to 10.6.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- Mistral Small accepts more context: 262K tokens versus 131K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.1 | Mistral Small | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 33.4 |
| Released | — | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 131K | 262K |
| Max output | 105K | 256K |
| Input $ / M tokens | $0.40 | $0.15 |
| Output $ / M tokens | $2 | $0.60 |
| Results tracked | 3 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Medium 3.1: —, Mistral Small: 34.0 (#247)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1362 |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Mistral Medium 3.1: —, Mistral Small: 28.1 (#93)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Mistral Small leads
Mistral Medium 3.1: 10.6 (#341), Mistral Small: 19.8 (#250)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 6.5% | — |
| CritPt | — | 0% |
| Thematic Generalization | 20.3% | — |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1335 |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Not comparable
Mistral Medium 3.1: —, Mistral Small: 16.4 (#293)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| MATH Level 5 | — | 46.8% |
Knowledge Not comparable
Mistral Medium 3.1: —, Mistral Small: 31.0 (#222)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1291 |
| MMLU | — | 68.7% |
Multimodal Not comparable
Mistral Medium 3.1: —, Mistral Small: 33.5 (#96)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Not comparable
Mistral Medium 3.1: —, Mistral Small: 45.5 (#169)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1340 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
Mistral Medium 3.1: —, Mistral Small: 66.4 (#209)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
Mistral Medium 3.1: —, Mistral Small: 40.4 (#156)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Mistral Medium 3.1 leads
Mistral Medium 3.1: 55.5 (#145), Mistral Small: 52.5 (#171)
| Benchmark | Mistral Medium 3.1 | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1305 |
| EQ-Bench Creative Writing | 1476 | — |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Mistral Medium 3.1 better than Mistral Small?
Mistral Small is the stronger model overall, scoring 33.4 to 31.9 on the Noometry Index.
Which is cheaper, Mistral Medium 3.1 or Mistral Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 131K.
How many benchmarks do Mistral Medium 3.1 and Mistral Small share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Mistral Small has 39.