Model comparison
Mistral Medium 3.1 vs Qwen3-1.7B
Mistral Medium 3.1 is the stronger model overall, scoring 31.5 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Qwen3-1.7B leads 18.5 to 10.1.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.1 | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 26.2 |
| Released | — | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 131K | — |
| Max output | 105K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $2 | — |
| Results tracked | 3 | 4 |
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Category by category
Agentic & Tool Use Not comparable
Mistral Medium 3.1: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Mistral Medium 3.1 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Mistral Medium 3.1: 10.1 (#336), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Mistral Medium 3.1 | Qwen3-1.7B |
|---|---|---|
| NYT Connections (extended) | 6.5% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 20.3% | — |
Math Not comparable
Mistral Medium 3.1: —, Qwen3-1.7B: 15.4 (#288)
| Benchmark | Mistral Medium 3.1 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
Knowledge Not comparable
Mistral Medium 3.1: —, Qwen3-1.7B: 19.6 (#273)
| Benchmark | Mistral Medium 3.1 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
Writing & Preference Not comparable
Mistral Medium 3.1: 55.6 (#140), Qwen3-1.7B: —
| Benchmark | Mistral Medium 3.1 | Qwen3-1.7B |
|---|---|---|
| EQ-Bench Creative Writing | 1476 | — |
Frequently asked questions
Is Mistral Medium 3.1 better than Qwen3-1.7B?
Mistral Medium 3.1 is the stronger model overall, scoring 31.5 to 26.2 on the Noometry Index.
How many benchmarks do Mistral Medium 3.1 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen3-1.7B has 4.