# Mistral Small vs Mistral Small 3.1

> Mistral Small is the stronger model overall, scoring 33.4 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-small-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Mistral Small scores higher in 8 categories and Mistral Small 3.1 in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.5 to 37.0.
- The biggest single-benchmark swing is GPQA Diamond: 47.5% for Mistral Small and 41.9% for Mistral Small 3.1.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Mistral Small accepts more context: 262K tokens versus 128K.

## Snapshot

| | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 33.4 | 31.7 |
| Rank | 243 | 269 |
| Context | 262K | 128K |
| Input $/M | $0.15 | $0.35 |
| Output $/M | $0.60 | $0.56 |
| Weights | Open | Open |

## Coding

- Mistral Small: 34.0 (#247)
- Mistral Small 3.1: 38.3 (#179)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1362 | 1309 |
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Mistral Small 3.1: —

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.8 (#250)
- Mistral Small 3.1: 19.7 (#254)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1278 |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | 44.8% | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| Epoch Capabilities Index | — | 127.48 |
| LiveBench | 44% | — |

## Math

- Mistral Small: 16.4 (#293)
- Mistral Small 3.1: 14.7 (#301)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 3.9% |
| LMArena Math | 1341 | 1262 |
| Omni-MATH | — | 24.8% |
| LiveBench Math | 39.9% | — |
| MATH Level 5 | 46.8% | — |

## Knowledge

- Mistral Small: 31.0 (#222)
- Mistral Small 3.1: 22.6 (#271)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 47.5% | 41.9% |
| LMArena Expert | 1291 | 1257 |
| MMLU-Pro | — | 61% |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | — | 39.2% |
| MMLU | 68.7% | — |

## Multimodal

- Mistral Small: 33.5 (#96)
- Mistral Small 3.1: 33.2 (#99)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1142 | 1136 |

## Multilingual

- Mistral Small: 45.5 (#169)
- Mistral Small 3.1: 41.2 (#209)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1315 | 1255 |
| LMArena Chinese | 1340 | 1253 |
| LMArena French | 1337 | 1273 |
| LMArena German | 1340 | 1266 |
| LMArena Japanese | 1275 | 1208 |
| LMArena Korean | 1259 | 1206 |
| LMArena Russian | 1324 | 1263 |
| LMArena Spanish | 1346 | 1283 |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Mistral Small 3.1: 63.6 (#230)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1310 | 1264 |
| LiveBench Instruction Following | 63.7% | — |
| IFEval | — | 75% |

## Long Context

- Mistral Small: 40.4 (#156)
- Mistral Small 3.1: 39.5 (#178)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1327 | 1299 |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Mistral Small 3.1: 37.0 (#259)

| Benchmark | Mistral Small | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1338 | 1277 |
| LMArena Creative Writing | 1305 | 1253 |
| LMArena Multi-Turn | 1344 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| LiveBench Language | 30.5% | — |

## FAQ

### Is Mistral Small better than Mistral Small 3.1?

Mistral Small is the stronger model overall, scoring 33.4 to 31.7 on the Noometry Index.

### Which is cheaper, Mistral Small or Mistral Small 3.1?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Is Mistral Small or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 34.0 in the Noometry coding category.

### Which has the bigger context window?

Mistral Small does, with 262K tokens against 128K.

### How many benchmarks do Mistral Small and Mistral Small 3.1 share?

20 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Mistral Small 3.1 has 28.