Model comparison
Mistral Small 3.2 vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 22× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3.6 Max Preview in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Max Preview leads 57.6 to 26.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 91.1% for Qwen3.6 Max Preview.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.30 / $7.80 for Qwen3.6 Max Preview.
- Qwen3.6 Max Preview accepts more context: 262K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3.2 | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 30.8 | 51.1 |
| Released | 2025-06-20 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 256K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.0938 | $1.30 |
| Output $ / M tokens | $0.25 | $7.80 |
| Results tracked | 6 | 29 |
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Category by category
Coding Not comparable
Mistral Small 3.2: —, Qwen3.6 Max Preview: 48.6 (#50)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| LMArena Coding | — | 1472 |
Agentic & Tool Use Not comparable
Mistral Small 3.2: —, Qwen3.6 Max Preview: —
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
Mistral Small 3.2: 17.5 (#282), Qwen3.6 Max Preview: 40.8 (#47)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| Chess Puzzles | 1% | 20% |
| Epoch Capabilities Index | 131.73 | 149.27 |
| SimpleBench | — | 63% |
| Kagi LLM Benchmark | 40.4% | — |
| NYT Connections (extended) | — | 74.1% |
| LMArena Hard Prompts | — | 1457 |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 87.2% |
| LMCA | — | 42.5% |
Math Qwen3.6 Max Preview leads
Mistral Small 3.2: 24.9 (#251), Qwen3.6 Max Preview: 52.2 (#40)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30.3% | 91.1% |
| LMArena Math | — | 1465 |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Qwen3.6 Max Preview leads
Mistral Small 3.2: 26.8 (#249), Qwen3.6 Max Preview: 57.6 (#35)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 49.1% | 87.4% |
| SimpleQA Verified | — | 52% |
| LMArena Expert | — | 1476 |
Multilingual Not comparable
Mistral Small 3.2: —, Qwen3.6 Max Preview: 54.3 (#46)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | — | 1436 |
| LMArena Chinese | — | 1487 |
| LMArena French | — | 1449 |
| LMArena Russian | — | 1444 |
| LMArena Spanish | — | 1452 |
Instruction Following Not comparable
Mistral Small 3.2: —, Qwen3.6 Max Preview: 75.8 (#51)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | — | 1437 |
Long Context Not comparable
Mistral Small 3.2: —, Qwen3.6 Max Preview: 44.6 (#59)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | — | 1457 |
Writing & Preference Qwen3.6 Max Preview leads
Mistral Small 3.2: 45.1 (#219), Qwen3.6 Max Preview: 64.0 (#58)
| Benchmark | Mistral Small 3.2 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1435 |
| EQ-Bench Creative Writing | 1255 | — |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Mistral Small 3.2 better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 22× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3.2 or Qwen3.6 Max Preview?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3.6 Max Preview lists at $1.30 and $7.80.
Which has the bigger context window?
Qwen3.6 Max Preview does, with 262K tokens against 256K.
How many benchmarks do Mistral Small 3.2 and Qwen3.6 Max Preview share?
4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.6 Max Preview has 29.