# Mistral Small 3.1 vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-small-3-1-vs-qwen3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Mistral Small 3.1 scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 22.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.9% for Mistral Small 3.1 and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Qwen3.7 Flash accepts more context: 1M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.4 | 39.5 |
| Rank | 263 | 152 |
| Context | 128K | 1M |
| Input $/M | $0.35 | $0.03 |
| Output $/M | $0.56 | $0.13 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small 3.1: 37.7 (#175)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1309 | — |

## Reasoning

- Mistral Small 3.1: 18.9 (#249)
- Qwen3.7 Flash: 27.3 (#108)

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 1% | 23% |
| Epoch Capabilities Index | 127.48 | 144.62 |
| NYT Connections (extended) | — | 43.8% |
| LMArena Hard Prompts | 1278 | — |
| Mystery Game Puzzles | — | 15% |

## Math

- Mistral Small 3.1: 13.7 (#295)
- Qwen3.7 Flash: 37.3 (#100)

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| Omni-MATH | 24.8% | — |
| LMArena Math | 1261 | — |

## Knowledge

- Mistral Small 3.1: 22.6 (#266)
- Qwen3.7 Flash: 48.9 (#69)

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 41.9% | 82.3% |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| LMArena Expert | 1258 | — |

## Multimodal

- Mistral Small 3.1: 32.6 (#93)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1136 | — |

## Multilingual

- Mistral Small 3.1: 41.4 (#204)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| 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

- Mistral Small 3.1: 63.8 (#225)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| IFEval | 75% | — |
| LMArena Instruction Following | 1264 | — |

## Long Context

- Mistral Small 3.1: 39.5 (#172)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1300 | — |

## Writing & Preference

- Mistral Small 3.1: 37.2 (#254)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small 3.1 | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1278 | — |
| LMArena Creative Writing | 1253 | — |
| EQ-Bench Creative Writing | 761 | — |
| WildBench | 78.8% | — |
| LMArena Multi-Turn | 1270 | — |

## FAQ

### Is Mistral Small 3.1 better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 31.4 on the Noometry Index.

### Which is cheaper, Mistral Small 3.1 or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 128K.

### How many benchmarks do Mistral Small 3.1 and Qwen3.7 Flash share?

4 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Qwen3.7 Flash has 7.