Model comparison
Pixtral Large vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where Qwen3.6 Max Preview leads 63.8 to 32.9.
- Both cost about the same: $2 input and $6 output per million tokens.
- Qwen3.6 Max Preview accepts more context: 262K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Pixtral Large | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 51.5 |
| Released | 2024-11-01 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $1.30 |
| Output $ / M tokens | $6 | $7.80 |
| Results tracked | 3 | 29 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| LMArena Coding | — | 1471 |
Agentic & Tool Use Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: —
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
Pixtral Large: 21.7 (#218), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Chess Puzzles | — | 20% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1457 |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 87.2% |
| LMCA | — | 42.5% |
| Epoch Capabilities Index | — | 149.24 |
Math Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | — | 1465 |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | — | 87.4% |
| SimpleQA Verified | — | 52% |
| LMArena Expert | — | 1478 |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen3.6 Max Preview: —
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | — | 1437 |
| LMArena Chinese | — | 1487 |
| LMArena French | — | 1449 |
| LMArena Russian | — | 1445 |
| LMArena Spanish | — | 1454 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | — | 1438 |
Long Context Not comparable
Pixtral Large: —, Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | — | 1457 |
Writing & Preference Qwen3.6 Max Preview leads
Pixtral Large: 32.9 (#278), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | Pixtral Large | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1435 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Pixtral Large better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 32.2 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3.6 Max Preview?
Qwen3.6 Max Preview is cheaper. It lists at $1.30 per million input tokens and $7.80 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3.6 Max Preview does, with 262K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3.6 Max Preview share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.6 Max Preview has 29.