Model comparison
Mistral Small 3.2 vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 30.8 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3.5-9B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 26.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 61.7% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.0938 / $0.25 for Mistral Small 3.2.
- Qwen3.5-9B accepts more context: 262K tokens versus 256K.
Side by side
| Mistral Small 3.2 | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 33.3 |
| Released | 2025-06-20 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.0938 | $0.10 |
| Output $ / M tokens | $0.25 | $0.15 |
| Results tracked | 6 | 10 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen3.5-9B: 35.3 (#213)
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Mistral Small 3.2: 17.5 (#282), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 1% | 12% |
| Epoch Capabilities Index | 131.73 | 139.45 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | — | 0.3% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
Math Qwen3.5-9B leads
Mistral Small 3.2: 24.9 (#251), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
Knowledge Qwen3.5-9B leads
Mistral Small 3.2: 26.8 (#249), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 49.1% | 79% |
Writing & Preference Not comparable
Mistral Small 3.2: 45.1 (#219), Qwen3.5-9B: —
| Benchmark | Mistral Small 3.2 | Qwen3.5-9B |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.3 to 30.8 on the Noometry Index.
Which is cheaper, Mistral Small 3.2 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 Small 3.2 lists at $0.0938 and $0.25.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Qwen3.5-9B share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.5-9B has 10.