# Codestral vs Mistral Small 3.1

> Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 30.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codestral-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where Mistral Small 3.1 leads 37.7 to 26.9.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.30 / $0.90 for Codestral.
- Codestral accepts more context: 256K tokens versus 128K.

## Snapshot

| | Codestral | Mistral Small 3.1 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 30.1 | 31.4 |
| Rank | 287 | 263 |
| Context | 256K | 128K |
| Input $/M | $0.30 | $0.35 |
| Output $/M | $0.90 | $0.56 |
| Weights | Open | Open |

## Coding

- Codestral: 26.9 (#316)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1309 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Reasoning

- Codestral: 19.1 (#244)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | — | 1278 |
| Epoch Capabilities Index | — | 127.48 |

## Math

- Codestral: —
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| LMArena Math | — | 1261 |

## Knowledge

- Codestral: —
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| LMArena Expert | — | 1258 |

## Multimodal

- Codestral: —
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- Codestral: —
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | — | 1255 |
| LMArena Chinese | — | 1254 |
| LMArena French | — | 1270 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1210 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1283 |

## Instruction Following

- Codestral: —
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| IFEval | — | 75% |
| LMArena Instruction Following | — | 1264 |

## Long Context

- Codestral: —
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | — | 1300 |

## Writing & Preference

- Codestral: —
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | Codestral | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | — | 1278 |
| LMArena Creative Writing | — | 1253 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | — | 1270 |

## FAQ

### Is Codestral better than Mistral Small 3.1?

Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 30.1 on the Noometry Index.

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

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Codestral lists at $0.30 and $0.90.

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

Mistral Small 3.1 scores higher on coding benchmarks: 37.7 versus 26.9 in the Noometry coding category.

### Which has the bigger context window?

Codestral does, with 256K tokens against 128K.

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

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Mistral Small 3.1 has 28.