Model comparison
Mistral Large vs Mistral Medium 3.1
Mistral Large and Mistral Medium 3.1 score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Mistral Large scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 40.7.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mistral Large | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 31.9 |
| Released | 2024-02-26 | — |
| Weights | Open | Proprietary |
| Context window | 131K | 131K |
| Max output | 16K | 105K |
| Input $ / M tokens | $2 | $0.40 |
| Output $ / M tokens | $6 | $2 |
| Results tracked | 51 | 3 |
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Category by category
Coding Not comparable
Mistral Large: 34.3 (#240), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Mistral Large leads
Mistral Large: 15.8 (#310), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| SimpleBench | 22.5% | — |
| NYT Connections (extended) | — | 6.5% |
| CritPt | 0% | — |
| Thematic Generalization | — | 20.3% |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Not comparable
Mistral Large: 18.2 (#291), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Mistral Large: 30.1 (#230), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), Mistral Medium 3.1: —
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Mistral Medium 3.1 leads
Mistral Large: 40.7 (#242), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Mistral Large | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 985 | 1476 |
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Mistral Medium 3.1?
Mistral Large and Mistral Medium 3.1 score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Mistral Large lists at $2 and $6.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Mistral Large and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Mistral Large has 51 scored results on Noometry and Mistral Medium 3.1 has 3.