Model comparison
Pixtral Large vs Qwen3-1.7B
Pixtral Large is the stronger model overall, scoring 32.2 to 26.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Side by side
| Pixtral Large | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 26.6 |
| Released | 2024-11-01 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 3 | 4 |
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Category by category
Agentic & Tool Use Not comparable
Pixtral Large: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Pixtral Large leads
Pixtral Large: 21.7 (#218), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.8% | — |
Math Not comparable
Pixtral Large: —, Qwen3-1.7B: 16.3 (#294)
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
Knowledge Not comparable
Pixtral Large: —, Qwen3-1.7B: 19.6 (#278)
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen3-1.7B: —
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1089 | — |
Writing & Preference Not comparable
Pixtral Large: 32.9 (#278), Qwen3-1.7B: —
| Benchmark | Pixtral Large | Qwen3-1.7B |
|---|---|---|
| EQ-Bench Creative Writing | 988 | — |
Frequently asked questions
Is Pixtral Large better than Qwen3-1.7B?
Pixtral Large is the stronger model overall, scoring 32.2 to 26.6 on the Noometry Index.
How many benchmarks do Pixtral Large and Qwen3-1.7B share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3-1.7B has 4.