Model comparison
Pixtral Large vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3 Max leads 62.6 to 32.9.
- Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3 Max accepts more context: 262K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Pixtral Large | Qwen3 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 43.5 |
| Released | 2024-11-01 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $1.20 |
| Output $ / M tokens | $6 | $6 |
| Results tracked | 3 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Pixtral Large: —, Qwen3 Max: 42.4 (#93)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| LMArena Coding | — | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Pixtral Large: —, Qwen3 Max: —
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Pixtral Large: 20.9 (#208), Qwen3 Max: 22.0 (#186)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| Epoch Capabilities Index | — | 142.41 |
Math Not comparable
Pixtral Large: —, Qwen3 Max: 37.6 (#94)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LMArena Math | — | 1447 |
| MATH Level 5 | — | 97.1% |
Knowledge Not comparable
Pixtral Large: —, Qwen3 Max: 48.1 (#72)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1457 |
Multimodal Not comparable
Pixtral Large: 30.0 (#105), Qwen3 Max: —
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen3 Max: 53.9 (#58)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| LMArena Non-English | — | 1429 |
| LMArena Chinese | — | 1479 |
| LMArena French | — | 1450 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1397 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1463 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3 Max: 75.0 (#81)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | — | 1420 |
Long Context Not comparable
Pixtral Large: —, Qwen3 Max: 41.6 (#129)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Qwen3 Max leads
Pixtral Large: 32.9 (#273), Qwen3 Max: 62.6 (#72)
| Benchmark | Pixtral Large | Qwen3 Max |
|---|---|---|
| LMArena Text | — | 1439 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is Pixtral Large better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.7 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3 Max?
Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3 Max share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3 Max has 33.