# Pixtral Large vs Qwen Max

> Qwen Max is the stronger model overall, scoring 34.7 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen-max
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where Qwen Max leads 47.8 to 32.9.
- Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Pixtral Large accepts more context: 128K tokens versus 33K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Pixtral Large | Qwen Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 34.7 |
| Rank | 259 | 230 |
| Context | 128K | 33K |
| Input $/M | $2 | $1.60 |
| Output $/M | $6 | $6.40 |
| Weights | Open | Proprietary |

## Coding

- Pixtral Large: —
- Qwen Max: 30.7 (#292)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| Aider Polyglot | — | 21.8% |
| LMArena Coding | — | 1288 |

## Reasoning

- Pixtral Large: 21.7 (#218)
- Qwen Max: 25.1 (#151)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1269 |

## Math

- Pixtral Large: —
- Qwen Max: 22.3 (#276)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| LMArena Math | — | 1275 |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |

## Knowledge

- Pixtral Large: —
- Qwen Max: 30.3 (#228)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| LMArena Expert | — | 1248 |

## Multimodal

- Pixtral Large: 30.6 (#111)
- Qwen Max: —

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| LMArena Vision | 1089 | — |

## Multilingual

- Pixtral Large: —
- Qwen Max: 41.8 (#202)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| LMArena Non-English | — | 1263 |
| LMArena Chinese | — | 1254 |
| LMArena French | — | 1330 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1205 |
| LMArena Korean | — | 1142 |
| LMArena Russian | — | 1274 |
| LMArena Spanish | — | 1290 |

## Instruction Following

- Pixtral Large: —
- Qwen Max: 66.5 (#208)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| LMArena Instruction Following | — | 1262 |

## Long Context

- Pixtral Large: —
- Qwen Max: 39.4 (#180)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| LMArena Longer Query | — | 1288 |

## Writing & Preference

- Pixtral Large: 32.9 (#278)
- Qwen Max: 47.8 (#205)

| Benchmark | Pixtral Large | Qwen Max |
|---|---|---|
| LMArena Text | — | 1282 |
| LMArena Creative Writing | — | 1248 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1277 |

## FAQ

### Is Pixtral Large better than Qwen Max?

Qwen Max is the stronger model overall, scoring 34.7 to 32.2 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen Max?

Qwen Max is cheaper. It lists at $1.60 per million input tokens and $6.40 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Pixtral Large does, with 128K tokens against 33K.

### How many benchmarks do Pixtral Large and Qwen Max share?

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen Max has 23.