Model comparison
Pixtral Large vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Qwen3.7 Flash leads 28.2 to 21.7.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.7 Flash accepts more context: 1M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Pixtral Large | Qwen3.7 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 39.9 |
| Released | 2024-11-01 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.03 |
| Output $ / M tokens | $6 | $0.13 |
| Results tracked | 3 | 7 |
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Category by category
Reasoning Qwen3.7 Flash leads
Pixtral Large: 21.7 (#218), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Pixtral Large | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| EnigmaEval | 0.8% | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Not comparable
Pixtral Large: —, Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Pixtral Large | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
Knowledge Not comparable
Pixtral Large: —, Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Pixtral Large | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen3.7 Flash: —
| Benchmark | Pixtral Large | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1089 | — |
Writing & Preference Not comparable
Pixtral Large: 32.9 (#278), Qwen3.7 Flash: —
| Benchmark | Pixtral Large | Qwen3.7 Flash |
|---|---|---|
| EQ-Bench Creative Writing | 988 | — |
Frequently asked questions
Is Pixtral Large better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 32.2 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3.7 Flash share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.7 Flash has 7.