# Mistral vs Qwen3.5 35B-A3B

> Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-vs-qwen3-5-35b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.5 35B-A3B in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.7 to 16.3.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 41.7 |
| Rank | 297 | 118 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $2 |
| Weights | Proprietary | Open |

## Coding

- Mistral: 33.2 (#249)
- Qwen3.5 35B-A3B: 33.5 (#244)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Coding | 1162 | 1410 |
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |

## Reasoning

- Mistral: 21.3 (#199)
- Qwen3.5 35B-A3B: 23.9 (#158)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1400 |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |

## Math

- Mistral: 20.5 (#275)
- Qwen3.5 35B-A3B: 38.4 (#86)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Math | 1180 | 1404 |
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| Omni-MATH | 7.2% | — |

## Knowledge

- Mistral: 16.3 (#283)
- Qwen3.5 35B-A3B: 47.7 (#73)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Expert | 1125 | 1408 |
| GPQA Diamond | — | 83.5% |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | 30.3% | — |

## Multilingual

- Mistral: 33.0 (#249)
- Qwen3.5 35B-A3B: 50.2 (#122)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1129 | 1379 |
| LMArena Chinese | 1109 | 1458 |
| LMArena French | 1179 | 1412 |
| LMArena German | 1155 | 1367 |
| LMArena Japanese | 1012 | 1326 |
| LMArena Korean | 1032 | 1354 |
| LMArena Russian | 1168 | 1377 |
| LMArena Spanish | 1143 | 1390 |

## Instruction Following

- Mistral: 52.9 (#283)
- Qwen3.5 35B-A3B: 73.0 (#123)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1379 |
| IFEval | 56.8% | — |

## Long Context

- Mistral: 35.0 (#240)
- Qwen3.5 35B-A3B: 42.4 (#122)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1154 | 1390 |

## Writing & Preference

- Mistral: 37.2 (#255)
- Qwen3.5 35B-A3B: 58.1 (#118)

| Benchmark | Mistral | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1165 | 1395 |
| LMArena Creative Writing | 1158 | 1347 |
| LMArena Multi-Turn | 1147 | 1391 |
| WildBench | 66% | — |

## FAQ

### Is Mistral better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 29.4 on the Noometry Index.

### Is Mistral or Qwen3.5 35B-A3B better for coding?

They score almost the same on coding (33.2 vs 33.5); test both on your own repository before choosing.

### How many benchmarks do Mistral and Qwen3.5 35B-A3B share?

17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.5 35B-A3B has 28.