# Mistral Small 3.2 vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 5.3× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-small-3-2-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3.7 Plus in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 26.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 93.3% for Qwen3.7 Plus.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus accepts more context: 1M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 45.0 |
| Rank | 271 | 66 |
| Context | 256K | 1M |
| Input $/M | $0.0938 | $0.40 |
| Output $/M | $0.25 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- Mistral Small 3.2: —
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| LMArena Coding | — | 1473 |

## Agentic & Tool Use

- Mistral Small 3.2: —
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- Mistral Small 3.2: 17.5 (#282)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| Chess Puzzles | 1% | 24% |
| Epoch Capabilities Index | 131.73 | 147.39 |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| LMArena Hard Prompts | — | 1460 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |

## Math

- Mistral Small 3.2: 24.9 (#251)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 93.3% |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| LMArena Math | — | 1467 |

## Knowledge

- Mistral Small 3.2: 26.8 (#249)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 49.1% | 87.9% |
| LMArena Expert | — | 1467 |

## Multimodal

- Mistral Small 3.2: —
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- Mistral Small 3.2: —
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | — | 1445 |
| LMArena Chinese | — | 1510 |
| LMArena French | — | 1471 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1416 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1453 |

## Instruction Following

- Mistral Small 3.2: —
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1439 |

## Long Context

- Mistral Small 3.2: —
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | — | 1454 |

## Writing & Preference

- Mistral Small 3.2: 45.1 (#219)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | Mistral Small 3.2 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | — | 1454 |
| LMArena Creative Writing | — | 1439 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1459 |

## FAQ

### Is Mistral Small 3.2 better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 5.3× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

### Which is cheaper, Mistral Small 3.2 or Qwen3.7 Plus?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.

### Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 256K.

### How many benchmarks do Mistral Small 3.2 and Qwen3.7 Plus share?

4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.7 Plus has 32.