# Pixtral Large vs Qwen3.5 122B-A10B

> Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-5-122b-a10b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.5 122B-A10B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 32.9.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.5 122B-A10B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 42.1 |
| Rank | 259 | 119 |
| Context | 128K | 262K |
| Input $/M | $2 | $0.40 |
| Output $/M | $6 | $3.20 |
| Weights | Open | Open |

## Coding

- Pixtral Large: —
- Qwen3.5 122B-A10B: 39.1 (#162)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |
| LMArena Coding | — | 1436 |

## Reasoning

- Pixtral Large: 21.7 (#218)
- Qwen3.5 122B-A10B: 27.2 (#123)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| EnigmaEval | 0.8% | — |
| Thematic Generalization | — | 51.2% |
| LMArena Hard Prompts | — | 1421 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |

## Math

- Pixtral Large: —
- Qwen3.5 122B-A10B: 39.1 (#112)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | — | 1432 |

## Knowledge

- Pixtral Large: —
- Qwen3.5 122B-A10B: 38.8 (#142)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1432 |

## Multimodal

- Pixtral Large: 30.6 (#111)
- Qwen3.5 122B-A10B: 39.6 (#57)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | 1089 | 1245 |

## Multilingual

- Pixtral Large: —
- Qwen3.5 122B-A10B: 51.6 (#107)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1424 |

## Instruction Following

- Pixtral Large: —
- Qwen3.5 122B-A10B: 73.8 (#115)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | — | 1399 |

## Long Context

- Pixtral Large: —
- Qwen3.5 122B-A10B: 43.0 (#109)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | — | 1410 |

## Writing & Preference

- Pixtral Large: 32.9 (#278)
- Qwen3.5 122B-A10B: 60.0 (#105)

| Benchmark | Pixtral Large | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1368 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1416 |

## FAQ

### Is Pixtral Large better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 32.2 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 128K.

### How many benchmarks do Pixtral Large and Qwen3.5 122B-A10B share?

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.5 122B-A10B has 27.