# Mistral vs Qwen1.5-7B

> Qwen1.5-7B is the stronger model overall, scoring 31.4 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen1-5-7b
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Mistral scores higher in 5 categories and Qwen1.5-7B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5-7B leads 28.7 to 16.6.
- Qwen1.5-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen1.5-7B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 31.4 |
| Rank | 303 | 273 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.8 (#250)
- Qwen1.5-7B: 32.2 (#276)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1162 | 1107 |

## Reasoning

- Mistral: 22.2 (#200)
- Qwen1.5-7B: 20.4 (#240)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1065 |

## Math

- Mistral: 22.3 (#278)
- Qwen1.5-7B: 31.4 (#224)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1180 | 1080 |
| Omni-MATH | 7.2% | — |

## Knowledge

- Mistral: 16.6 (#288)
- Qwen1.5-7B: 28.7 (#243)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1125 | 1055 |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| MMLU | — | 62.6% |

## Multilingual

- Mistral: 32.8 (#254)
- Qwen1.5-7B: 28.5 (#271)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1129 | 1058 |
| LMArena Chinese | 1109 | 1141 |
| LMArena Russian | 1168 | 1006 |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Mistral: 52.6 (#288)
- Qwen1.5-7B: 54.1 (#281)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1058 |
| IFEval | 56.8% | — |

## Long Context

- Mistral: 35.0 (#245)
- Qwen1.5-7B: 33.1 (#266)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1153 | 1090 |

## Writing & Preference

- Mistral: 37.0 (#260)
- Qwen1.5-7B: 29.6 (#293)

| Benchmark | Mistral | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1165 | 1083 |
| LMArena Creative Writing | 1158 | 1035 |
| LMArena Multi-Turn | 1147 | 1062 |
| WildBench | 66% | — |

## FAQ

### Is Mistral better than Qwen1.5-7B?

Qwen1.5-7B is the stronger model overall, scoring 31.4 to 29.9 on the Noometry Index.

### Is Mistral or Qwen1.5-7B better for coding?

Mistral scores higher on coding benchmarks: 33.8 versus 32.2 in the Noometry coding category.

### How many benchmarks do Mistral and Qwen1.5-7B share?

12 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen1.5-7B has 13.