Model comparison
Mistral Small 3 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 costs 65× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral Small 3 scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.4 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for Mistral Small 3 and 95.6% for Qwen3.7 Max.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 33K.
- Mistral Small 3 has downloadable open weights; the other is API-only.
Side by side
| Mistral Small 3 | Qwen3.7 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 51.5 |
| Released | 2025-01-30 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 33K | 1M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.05 | $2.50 |
| Output $ / M tokens | $0.08 | $7.50 |
| Results tracked | 24 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Mistral Small 3: 36.5 (#207), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1246 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| BigCodeBench Instruct | 45.3% | — |
| BigCodeBench Complete | 50.4% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Mistral Small 3: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Mistral Small 3: 18.9 (#273), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| Chess Puzzles | 0% | 19% |
| LMArena Hard Prompts | 1233 | 1483 |
| Epoch Capabilities Index | 127.07 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
Math Qwen3.7 Max leads
Mistral Small 3: 16.3 (#295), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 95.6% |
| LMArena Math | 1240 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
Knowledge Qwen3.7 Max leads
Mistral Small 3: 25.1 (#263), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 47.3% | 90.9% |
| LMArena Expert | 1202 | 1488 |
| SimpleQA Verified | — | 55.8% |
| Confabulations | 25.2% | — |
Multilingual Qwen3.7 Max leads
Mistral Small 3: 37.3 (#236), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1198 | 1474 |
| LMArena Chinese | 1204 | 1530 |
| LMArena Russian | 1216 | 1484 |
| LMArena French | 1203 | — |
| LMArena German | 1211 | — |
| LMArena Japanese | 1111 | — |
| LMArena Korean | 1188 | — |
Instruction Following Qwen3.7 Max leads
Mistral Small 3: 63.7 (#229), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1214 | 1460 |
Long Context Qwen3.7 Max leads
Mistral Small 3: 37.8 (#211), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1246 | 1482 |
Writing & Preference Qwen3.7 Max leads
Mistral Small 3: 32.2 (#280), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Mistral Small 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1234 | 1476 |
| LMArena Creative Writing | 1195 | 1449 |
| LMArena Multi-Turn | 1217 | 1481 |
| EQ-Bench Creative Writing | 707 | — |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Mistral Small 3 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 costs 65× 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 or Qwen3.7 Max?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Is Mistral Small 3 or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 33K.
How many benchmarks do Mistral Small 3 and Qwen3.7 Max share?
16 benchmarks have published results for both models. Mistral Small 3 has 24 scored results on Noometry and Qwen3.7 Max has 33.