Model comparison
Pixtral Large vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 31.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3-VL 235B-A22B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-VL 235B-A22B leads 60.4 to 32.9.
- Qwen3-VL 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3-VL 235B-A22B accepts more context: 131K tokens versus 128K.
Side by side
| Pixtral Large | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 42.5 |
| Released | 2024-11-01 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $2 | $0.70 |
| Output $ / M tokens | $6 | $2.80 |
| Results tracked | 3 | 18 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 41.8 (#103)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | — | 1438 |
Reasoning Qwen3-VL 235B-A22B leads
Pixtral Large: 20.9 (#208), Qwen3-VL 235B-A22B: 28.1 (#92)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1428 |
Math Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 36.2 (#120)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | — | 1426 |
Knowledge Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 39.6 (#120)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | — | 1440 |
Multimodal Qwen3-VL 235B-A22B leads
Pixtral Large: 30.0 (#105), Qwen3-VL 235B-A22B: 39.1 (#50)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | 1089 | 1247 |
Multilingual Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 52.1 (#92)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1448 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1395 |
| LMArena Russian | — | 1409 |
| LMArena Spanish | — | 1427 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 74.4 (#95)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | — | 1407 |
Long Context Not comparable
Pixtral Large: —, Qwen3-VL 235B-A22B: 43.4 (#93)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | — | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Pixtral Large: 32.9 (#273), Qwen3-VL 235B-A22B: 60.4 (#94)
| Benchmark | Pixtral Large | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | — | 1420 |
| LMArena Creative Writing | — | 1367 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1428 |
Frequently asked questions
Is Pixtral Large better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 42.5 to 31.7 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3-VL 235B-A22B does, with 131K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3-VL 235B-A22B share?
1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3-VL 235B-A22B has 18.