# Pixtral Large vs Qwen3.5 35B-A3B

> Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-5-35b-a3b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where Qwen3.5 35B-A3B leads 57.9 to 32.9.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.5 35B-A3B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 42.0 |
| Rank | 259 | 123 |
| Context | 128K | 262K |
| Input $/M | $2 | $0.25 |
| Output $/M | $6 | $2 |
| Weights | Open | Open |

## Coding

- Pixtral Large: —
- Qwen3.5 35B-A3B: 33.8 (#251)

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

## Reasoning

- Pixtral Large: 21.7 (#218)
- Qwen3.5 35B-A3B: 24.6 (#161)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |

## Math

- Pixtral Large: —
- Qwen3.5 35B-A3B: 39.9 (#97)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |

## Knowledge

- Pixtral Large: —
- Qwen3.5 35B-A3B: 47.8 (#79)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |

## Multimodal

- Pixtral Large: 30.6 (#111)
- Qwen3.5 35B-A3B: —

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Vision | 1089 | — |

## Multilingual

- Pixtral Large: —
- Qwen3.5 35B-A3B: 50.0 (#127)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1457 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Russian | — | 1376 |
| LMArena Spanish | — | 1392 |

## Instruction Following

- Pixtral Large: —
- Qwen3.5 35B-A3B: 72.8 (#128)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |

## Long Context

- Pixtral Large: —
- Qwen3.5 35B-A3B: 42.4 (#127)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1389 |

## Writing & Preference

- Pixtral Large: 32.9 (#278)
- Qwen3.5 35B-A3B: 57.9 (#124)

| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1346 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1390 |

## FAQ

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

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 32.2 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 128K.

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

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.5 35B-A3B has 28.