Model comparison
Pixtral Large vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 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 Qwen3.5 35B-A3B leads 58.1 to 32.9.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3.5 35B-A3B accepts more context: 262K tokens versus 128K.
Side by side
| Pixtral Large | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 41.7 |
| Released | 2024-11-01 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.25 |
| Output $ / M tokens | $6 | $2 |
| Results tracked | 3 | 28 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 33.5 (#244)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| LMArena Coding | — | 1410 |
Reasoning Qwen3.5 35B-A3B leads
Pixtral Large: 20.9 (#208), Qwen3.5 35B-A3B: 23.9 (#158)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |
Math Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 38.4 (#86)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
Knowledge Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 47.7 (#73)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
Multimodal Not comparable
Pixtral Large: 30.0 (#105), Qwen3.5 35B-A3B: —
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 50.2 (#122)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1379 |
| LMArena Chinese | — | 1458 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1326 |
| LMArena Korean | — | 1354 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1390 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 73.0 (#123)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
Pixtral Large: —, Qwen3.5 35B-A3B: 42.4 (#122)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1390 |
Writing & Preference Qwen3.5 35B-A3B leads
Pixtral Large: 32.9 (#273), Qwen3.5 35B-A3B: 58.1 (#118)
| Benchmark | Pixtral Large | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1347 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1391 |
Frequently asked questions
Is Pixtral Large better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 31.7 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3.5 35B-A3B does, with 262K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3.5 35B-A3B share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.5 35B-A3B has 28.