Model comparison
Mistral Small 3.2 vs Qwen2.5 32B Instruct
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 30.1 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 2 categories and Qwen2.5 32B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 16.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 7.4% for Qwen2.5 32B Instruct.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Mistral Small 3.2 accepts more context: 256K tokens versus 131K.
Side by side
| Mistral Small 3.2 | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 30.1 |
| Released | 2025-06-20 | 2024-09 |
| Weights | Open | Open |
| Context window | 256K | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $0.0938 | $0.70 |
| Output $ / M tokens | $0.25 | $2.80 |
| Results tracked | 6 | 7 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Mistral Small 3.2 | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| BigCodeBench Complete | — | 52.3% |
Reasoning Qwen2.5 32B Instruct leads
Mistral Small 3.2: 18.1 (#287), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Mistral Small 3.2 | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 1% | 0% |
| Epoch Capabilities Index | 131.74 | 128.52 |
| Kagi LLM Benchmark | 40.4% | — |
Math Mistral Small 3.2 leads
Mistral Small 3.2: 26.3 (#260), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Mistral Small 3.2 | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 7.4% |
| MATH Level 5 | — | 56.1% |
Knowledge Mistral Small 3.2 leads
Mistral Small 3.2: 26.7 (#256), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Mistral Small 3.2 | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 49.1% | 46.1% |
Writing & Preference Not comparable
Mistral Small 3.2: 45.0 (#224), Qwen2.5 32B Instruct: —
| Benchmark | Mistral Small 3.2 | Qwen2.5 32B Instruct |
|---|---|---|
| EQ-Bench Creative Writing | 1255 | — |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen2.5 32B Instruct?
Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 30.1 on the Noometry Index.
Which is cheaper, Mistral Small 3.2 or Qwen2.5 32B Instruct?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 131K.
How many benchmarks do Mistral Small 3.2 and Qwen2.5 32B Instruct share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen2.5 32B Instruct has 7.