# Mistral Small vs Qwen1.5-32B

> Mistral Small is the stronger model overall, scoring 33.1 to 30.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-small-vs-qwen1-5-32b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Mistral Small scores higher in 6 categories and Qwen1.5-32B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.6 to 34.4.
- The biggest single-benchmark swing is GPQA Diamond: 47.5% for Mistral Small and 30.7% for Qwen1.5-32B.

## Snapshot

| | Mistral Small | Qwen1.5-32B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.1 | 30.0 |
| Rank | 238 | 288 |
| Context | 256K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- Mistral Small: 33.5 (#242)
- Qwen1.5-32B: 31.1 (#278)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| BigCodeBench Instruct | 36.1% | 32.3% |
| LMArena Coding | 1363 | 1155 |
| BigCodeBench Complete | 46.6% | 42% |
| SciCode | 26.5% | — |
| LiveBench Coding | 36.2% | — |
| ALE-Bench | 497.62 | — |

## Agentic & Tool Use

- Mistral Small: 27.9 (#87)
- Qwen1.5-32B: —

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |

## Reasoning

- Mistral Small: 19.3 (#238)
- Qwen1.5-32B: 20.9 (#210)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1336 | 1131 |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 44.8% | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |

## Math

- Mistral Small: 15.4 (#287)
- Qwen1.5-32B: 30.5 (#207)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1341 | 1155 |
| OTIS Mock AIME 2024-2025 | 5.8% | — |
| LiveBench Math | 39.9% | — |
| MATH Level 5 | 46.8% | — |

## Knowledge

- Mistral Small: 30.9 (#214)
- Qwen1.5-32B: 13.5 (#291)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| GPQA Diamond | 47.5% | 30.7% |
| LMArena Expert | 1293 | 1126 |
| MMLU | 68.7% | 74.4% |
| Vectara Hallucination Rate | 5.1% | — |

## Multimodal

- Mistral Small: 32.9 (#91)
- Qwen1.5-32B: —

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Vision | 1142 | — |

## Multilingual

- Mistral Small: 45.7 (#164)
- Qwen1.5-32B: 31.6 (#254)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1315 | 1106 |
| LMArena Chinese | 1342 | 1176 |
| LMArena French | 1337 | 1100 |
| LMArena German | 1341 | 1058 |
| LMArena Japanese | 1275 | 1027 |
| LMArena Korean | 1260 | 1007 |
| LMArena Russian | 1324 | 1073 |
| LMArena Spanish | 1346 | 1089 |

## Instruction Following

- Mistral Small: 66.6 (#204)
- Qwen1.5-32B: 58.0 (#260)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1310 | 1116 |
| LiveBench Instruction Following | 63.7% | — |

## Long Context

- Mistral Small: 40.4 (#151)
- Qwen1.5-32B: 34.7 (#241)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1327 | 1146 |

## Writing & Preference

- Mistral Small: 52.6 (#165)
- Qwen1.5-32B: 34.4 (#266)

| Benchmark | Mistral Small | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1338 | 1137 |
| LMArena Creative Writing | 1304 | 1083 |
| LMArena Multi-Turn | 1344 | 1140 |
| LiveBench Language | 30.5% | — |

## FAQ

### Is Mistral Small better than Qwen1.5-32B?

Mistral Small is the stronger model overall, scoring 33.1 to 30.0 on the Noometry Index.

### Is Mistral Small or Qwen1.5-32B better for coding?

Mistral Small scores higher on coding benchmarks: 33.5 versus 31.1 in the Noometry coding category.

### How many benchmarks do Mistral Small and Qwen1.5-32B share?

21 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen1.5-32B has 21.