Model comparison
Mistral Small 3.2 vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 28× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.
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 Qwen3.7 Max in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.4 to 26.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 95.6% for Qwen3.7 Max.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | Qwen3.7 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 51.5 |
| Released | 2025-06-20 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 256K | 1M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.0938 | $2.50 |
| Output $ / M tokens | $0.25 | $7.50 |
| Results tracked | 6 | 33 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen3.7 Max: 50.4 (#45)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Mistral Small 3.2: 18.1 (#287), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| Chess Puzzles | 1% | 19% |
| Epoch Capabilities Index | 131.74 | 153.68 |
| SimpleBench | — | 70.4% |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
Math Qwen3.7 Max leads
Mistral Small 3.2: 26.3 (#260), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |
Knowledge Qwen3.7 Max leads
Mistral Small 3.2: 26.7 (#256), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 49.1% | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Qwen3.7 Max leads
Mistral Small 3.2: 45.0 (#224), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Mistral Small 3.2 | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench Creative Writing | 1255 | — |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 28× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or Qwen3.7 Max?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Qwen3.7 Max share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.7 Max has 33.