# Mistral Small vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 33.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-small-vs-qwen3-7-flash
- Last updated: 2026-10-11
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Mistral Small scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Flash leads 38.3 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.8% for Mistral Small and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Qwen3.7 Flash accepts more context: 1M tokens versus 262K.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 39.9 |
| Rank | 243 | 156 |
| Context | 262K | 1M |
| Input $/M | $0.15 | $0.03 |
| Output $/M | $0.60 | $0.13 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small: 34.0 (#247)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 28.1 (#93)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.8 (#250)
- Qwen3.7 Flash: 28.2 (#108)

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| NYT Connections (extended) | — | 43.8% |
| CritPt | 0% | — |
| Chess Puzzles | — | 23% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| Mystery Game Puzzles | — | 15% |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| Epoch Capabilities Index | — | 144.64 |
| LiveBench | 44% | — |

## Math

- Mistral Small: 16.4 (#293)
- Qwen3.7 Flash: 38.3 (#140)

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |

## Knowledge

- Mistral Small: 31.0 (#222)
- Qwen3.7 Flash: 48.9 (#75)

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 47.5% | 82.3% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |

## Multimodal

- Mistral Small: 33.5 (#96)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.5 (#169)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Mistral Small: 66.4 (#209)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |

## Long Context

- Mistral Small: 40.4 (#156)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1327 | — |

## Writing & Preference

- Mistral Small: 52.5 (#171)
- Qwen3.7 Flash: —

| Benchmark | Mistral Small | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |

## FAQ

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

Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 33.4 on the Noometry Index.

### Which is cheaper, Mistral Small 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 lists at $0.15 and $0.60.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 262K.

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

2 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3.7 Flash has 7.