Model comparison
Pixtral Large vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 31.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.5 397B-A17B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 397B-A17B leads 62.5 to 32.9.
- Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.5 397B-A17B accepts more context: 262K tokens versus 128K.
Side by side
| Pixtral Large | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 45.7 |
| Released | 2024-11-01 | 2026-02-01 |
| 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 | 36 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 41.7 (#108)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | — | 1400 |
| LMArena Coding | — | 1464 |
Agentic & Tool Use Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 33.2 (#51)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Qwen3.5 397B-A17B leads
Pixtral Large: 20.9 (#208), Qwen3.5 397B-A17B: 33.6 (#62)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| Chess Puzzles | — | 13% |
| EnigmaEval | 0.8% | — |
| Thematic Generalization | — | 65.1% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Epoch Capabilities Index | — | 146.64 |
Math Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 44.9 (#64)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 31.2% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| LMArena Math | — | 1455 |
Knowledge Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 53.3 (#53)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | — | 86.4% |
| LMArena Expert | — | 1461 |
Multimodal Qwen3.5 397B-A17B leads
Pixtral Large: 30.0 (#105), Qwen3.5 397B-A17B: 40.0 (#42)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | 1089 | 1262 |
Multilingual Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 54.0 (#56)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | — | 1431 |
| LMArena Chinese | — | 1501 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1427 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1443 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 75.2 (#73)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
Pixtral Large: —, Qwen3.5 397B-A17B: 44.1 (#71)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Qwen3.5 397B-A17B leads
Pixtral Large: 32.9 (#273), Qwen3.5 397B-A17B: 62.5 (#74)
| Benchmark | Pixtral Large | Qwen3.5 397B-A17B |
|---|---|---|
| EQ-Bench Creative Writing | 988 | 1478 |
| LMArena Text | — | 1438 |
| LMArena Creative Writing | — | 1401 |
| LMArena Multi-Turn | — | 1447 |
Frequently asked questions
Is Pixtral Large better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 31.7 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B 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?
Qwen3.5 397B-A17B does, with 262K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3.5 397B-A17B share?
2 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.5 397B-A17B has 36.