# Pixtral Large vs Qwen3.6 27B

> Qwen3.6 27B is the stronger model overall, scoring 41.9 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-6-27b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where Qwen3.6 27B leads 50.3 to 32.9.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.6 27B accepts more context: 262K tokens versus 128K.

## Snapshot

| | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 41.9 |
| Rank | 257 | 112 |
| Context | 128K | 262K |
| Input $/M | $2 | $0.60 |
| Output $/M | $6 | $3.60 |
| Weights | Open | Open |

## Coding

- Pixtral Large: —
- Qwen3.6 27B: 38.5 (#162)

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |

## Reasoning

- Pixtral Large: 20.9 (#208)
- Qwen3.6 27B: 24.4 (#148)

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| EnigmaEval | 0.8% | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.47 |

## Math

- Pixtral Large: —
- Qwen3.6 27B: 47.5 (#56)

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |

## Knowledge

- Pixtral Large: —
- Qwen3.6 27B: 52.4 (#58)

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |

## Multimodal

- Pixtral Large: 30.0 (#105)
- Qwen3.6 27B: —

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1089 | — |

## Writing & Preference

- Pixtral Large: 32.9 (#273)
- Qwen3.6 27B: 50.3 (#180)

| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| EQ-Bench Creative Writing | 988 | — |
| EQ-Bench 4 | — | 1026 |

## FAQ

### Is Pixtral Large better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 41.9 to 31.7 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen3.6 27B?

Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Qwen3.6 27B does, with 262K tokens against 128K.

### How many benchmarks do Pixtral Large and Qwen3.6 27B share?

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.6 27B has 11.