# Mistral vs Qwen3.5-9B

> Qwen3.5-9B is the stronger model overall, scoring 33.8 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen3-5-9b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 16.6.
- Qwen3.5-9B has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen3.5-9B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 33.8 |
| Rank | 303 | 236 |
| Context | — | 262K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.15 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.8 (#250)
- Qwen3.5-9B: 35.9 (#217)

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1162 | — |

## Agentic & Tool Use

- Mistral: —
- Qwen3.5-9B: 14.5 (#151)

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |

## Reasoning

- Mistral: 22.2 (#200)
- Qwen3.5-9B: 23.1 (#182)

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1149 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |

## Math

- Mistral: 22.3 (#278)
- Qwen3.5-9B: 34.8 (#192)

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |

## Knowledge

- Mistral: 16.6 (#288)
- Qwen3.5-9B: 46.0 (#84)

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |

## Multilingual

- Mistral: 32.8 (#254)
- Qwen3.5-9B: —

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Mistral: 52.6 (#288)
- Qwen3.5-9B: —

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |

## Long Context

- Mistral: 35.0 (#245)
- Qwen3.5-9B: —

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1153 | — |

## Writing & Preference

- Mistral: 37.0 (#260)
- Qwen3.5-9B: —

| Benchmark | Mistral | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |

## FAQ

### Is Mistral better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 29.9 on the Noometry Index.

### Is Mistral or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 33.8 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen3.5-9B share?

0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.5-9B has 10.