Model comparison
Mistral Large vs Mistral Small 3.2
Mistral Large and Mistral Small 3.2 score almost the same on the Noometry Index (31.9 vs 31.2), so choose on price, context window or the category you care about most.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Mistral Large scores higher in 1 category and Mistral Small 3.2 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Mistral Large and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Small 3.2 accepts more context: 256K tokens versus 131K.
Side by side
| Mistral Large | Mistral Small 3.2 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 31.2 |
| Released | 2024-02-26 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 131K | 256K |
| Max output | 16K | 16K |
| Input $ / M tokens | $2 | $0.0938 |
| Output $ / M tokens | $6 | $0.25 |
| Results tracked | 51 | 6 |
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Category by category
Coding Not comparable
Mistral Large: 34.3 (#240), Mistral Small 3.2: —
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| 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 Small 3.2: —
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Mistral Small 3.2 leads
Mistral Large: 15.8 (#310), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 128.52 | 131.74 |
| SimpleBench | 22.5% | — |
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Mistral Small 3.2 leads
Mistral Large: 18.2 (#291), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 30.3% |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Large leads
Mistral Large: 30.1 (#230), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 51.3% | 49.1% |
| 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 Small 3.2: —
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| 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 Small 3.2: —
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), Mistral Small 3.2: —
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Mistral Small 3.2 leads
Mistral Large: 40.7 (#242), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 985 | 1255 |
| 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 Small 3.2?
Mistral Large and Mistral Small 3.2 score almost the same on the Noometry Index (31.9 vs 31.2), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Mistral Large lists at $2 and $6.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 131K.
How many benchmarks do Mistral Large and Mistral Small 3.2 share?
4 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Mistral Small 3.2 has 6.