Model comparison
Mistral Medium 3.1 vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3.5-9B leads 23.1 to 10.6.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- Qwen3.5-9B accepts more context: 262K tokens versus 131K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.1 | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.9 | 33.8 |
| Released | — | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 131K | 262K |
| Max output | 105K | 66K |
| Input $ / M tokens | $0.40 | $0.10 |
| Output $ / M tokens | $2 | $0.15 |
| Results tracked | 3 | 10 |
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Category by category
Coding Not comparable
Mistral Medium 3.1: —, Qwen3.5-9B: 35.9 (#217)
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
Agentic & Tool Use Not comparable
Mistral Medium 3.1: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Mistral Medium 3.1: 10.6 (#341), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| NYT Connections (extended) | 6.5% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| Thematic Generalization | 20.3% | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Not comparable
Mistral Medium 3.1: —, Qwen3.5-9B: 34.8 (#192)
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Not comparable
Mistral Medium 3.1: —, Qwen3.5-9B: 46.0 (#84)
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
Writing & Preference Not comparable
Mistral Medium 3.1: 55.5 (#145), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.1 | Qwen3.5-9B |
|---|---|---|
| EQ-Bench Creative Writing | 1476 | — |
Frequently asked questions
Is Mistral Medium 3.1 better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 31.9 on the Noometry Index.
Which is cheaper, Mistral Medium 3.1 or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 131K.
How many benchmarks do Mistral Medium 3.1 and Qwen3.5-9B share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen3.5-9B has 10.