# Pixtral Large vs Qwen3.5 27B

> Qwen3.5 27B is the stronger model overall, scoring 41.4 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-5-27b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.5 27B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 27B leads 59.5 to 32.9.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.5 27B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 41.4 |
| Rank | 257 | 127 |
| Context | 128K | 262K |
| Input $/M | $2 | $0.30 |
| Output $/M | $6 | $2.40 |
| Weights | Open | Open |

## Coding

- Pixtral Large: —
- Qwen3.5 27B: 38.6 (#159)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | — | 1357 |
| WeirdML | — | 39.5% |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 349.45 |

## Agentic & Tool Use

- Pixtral Large: —
- Qwen3.5 27B: —

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- Pixtral Large: 20.9 (#208)
- Qwen3.5 27B: 26.6 (#116)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| NYT Connections (extended) | — | 47.9% |
| EnigmaEval | 0.8% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| DTBench | — | 82.4% |
| LMCA | — | 34% |

## Math

- Pixtral Large: —
- Qwen3.5 27B: 36.8 (#103)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56.7% |
| LMArena Math | — | 1428 |

## Knowledge

- Pixtral Large: —
- Qwen3.5 27B: 37.4 (#149)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |

## Multimodal

- Pixtral Large: 30.0 (#105)
- Qwen3.5 27B: 38.7 (#56)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 1089 | 1240 |

## Multilingual

- Pixtral Large: —
- Qwen3.5 27B: 51.0 (#112)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | — | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1409 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1359 |
| LMArena Russian | — | 1389 |
| LMArena Spanish | — | 1408 |

## Instruction Following

- Pixtral Large: —
- Qwen3.5 27B: 73.7 (#114)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |

## Long Context

- Pixtral Large: —
- Qwen3.5 27B: 43.1 (#103)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- Pixtral Large: 32.9 (#273)
- Qwen3.5 27B: 59.5 (#106)

| Benchmark | Pixtral Large | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1410 |

## FAQ

### Is Pixtral Large better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.4 to 31.7 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen3.5 27B?

Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Qwen3.5 27B does, with 262K tokens against 128K.

### How many benchmarks do Pixtral Large and Qwen3.5 27B share?

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.5 27B has 28.