# Mistral vs Qwen3 32B

> Qwen3 32B is the stronger model overall, scoring 39.2 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen3-32b
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Mistral scores higher in 1 category and Qwen3 32B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 16.6.
- Qwen3 32B has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen3 32B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 39.2 |
| Rank | 303 | 172 |
| Context | — | 131K |
| Input $/M | — | $0.70 |
| Output $/M | — | $2.80 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.8 (#250)
- Qwen3 32B: 37.7 (#190)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1162 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |

## Agentic & Tool Use

- Mistral: —
- Qwen3 32B: 32.6 (#62)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |

## Reasoning

- Mistral: 22.2 (#200)
- Qwen3 32B: 20.2 (#241)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1334 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |

## Math

- Mistral: 22.3 (#278)
- Qwen3 32B: 39.7 (#99)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Math | 1180 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| Omni-MATH | 7.2% | — |

## Knowledge

- Mistral: 16.6 (#288)
- Qwen3 32B: 40.0 (#125)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1125 | 1362 |
| GPQA Diamond | — | 65.7% |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 5.9% |
| GPQA (HELM) | 30.3% | — |

## Multilingual

- Mistral: 32.8 (#254)
- Qwen3 32B: 45.6 (#167)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1129 | 1317 |
| LMArena Chinese | 1109 | 1357 |
| LMArena German | 1155 | 1341 |
| LMArena Russian | 1168 | 1311 |
| LMArena French | 1180 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Mistral: 52.6 (#288)
- Qwen3 32B: 68.9 (#179)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1305 |
| IFEval | 56.8% | — |

## Long Context

- Mistral: 35.0 (#245)
- Qwen3 32B: 43.8 (#87)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1153 | 1327 |
| Fiction.LiveBench | — | 74.2% |

## Writing & Preference

- Mistral: 37.0 (#260)
- Qwen3 32B: 52.9 (#163)

| Benchmark | Mistral | Qwen3 32B |
|---|---|---|
| LMArena Text | 1165 | 1340 |
| LMArena Creative Writing | 1158 | 1297 |
| LMArena Multi-Turn | 1147 | 1331 |
| WildBench | 66% | — |

## FAQ

### Is Mistral better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 29.9 on the Noometry Index.

### Is Mistral or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 33.8 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen3 32B share?

13 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3 32B has 26.