Model comparison
Pixtral Large vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)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.
Side by side
| Pixtral Large | Qwen3.6 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 42.2 |
| Released | 2024-11-01 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.60 |
| Output $ / M tokens | $6 | $3.60 |
| Results tracked | 3 | 11 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3.6 27B: 39.1 (#163)
| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
Reasoning Qwen3.6 27B leads
Pixtral Large: 21.7 (#218), Qwen3.6 27B: 25.0 (#153)
| 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 | — | 146.5 |
Math Not comparable
Pixtral Large: —, Qwen3.6 27B: 48.5 (#62)
| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
Knowledge Not comparable
Pixtral Large: —, Qwen3.6 27B: 52.4 (#63)
| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen3.6 27B: —
| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1089 | — |
Writing & Preference Qwen3.6 27B leads
Pixtral Large: 32.9 (#278), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Pixtral Large | Qwen3.6 27B |
|---|---|---|
| EQ-Bench Creative Writing | 988 | — |
| EQ-Bench 4 | — | 1026 |
Frequently asked questions
Is Pixtral Large better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 32.2 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.