# Mistral Large vs Mistral Small 3.2

> Mistral Large and Mistral Small 3.2 score almost the same on the Noometry Index (31.6 vs 30.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/mistral-large-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 4

## 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 24.9 to 17.1.
- 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.

## Snapshot

| | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.6 | 30.8 |
| Rank | 258 | 271 |
| Context | 131K | 256K |
| Input $/M | $2 | $0.0938 |
| Output $/M | $6 | $0.25 |
| Weights | Open | Open |

## Coding

- Mistral Large: 33.8 (#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

- Mistral Large: 28.4 (#83)
- Mistral Small 3.2: —

| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.4 (#305)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 128.52 | 131.73 |
| 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 Large: 17.1 (#285)
- Mistral Small 3.2: 24.9 (#251)

| 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: 30.0 (#224)
- Mistral Small 3.2: 26.8 (#249)

| 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

- Mistral Large: 40.1 (#214)
- Mistral Small 3.2: —

| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1324 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1187 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |

## Instruction Following

- Mistral Large: 68.1 (#186)
- 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

- Mistral Large: 38.3 (#194)
- Mistral Small 3.2: —

| Benchmark | Mistral Large | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1262 | — |

## Writing & Preference

- Mistral Large: 40.9 (#237)
- Mistral Small 3.2: 45.1 (#219)

| 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% | — |

## FAQ

### Is Mistral Large better than Mistral Small 3.2?

Mistral Large and Mistral Small 3.2 score almost the same on the Noometry Index (31.6 vs 30.8), 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.