Model comparison
Mistral Small 3 vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 12× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Mistral Small 3 scores higher in 0 categories and Qwen3.7 Plus in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Plus leads 50.5 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for Mistral Small 3 and 93.3% for Qwen3.7 Plus.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus 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 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 45.3 |
| Released | 2025-01-30 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | 33K | 1M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.05 | $0.40 |
| Output $ / M tokens | $0.08 | $1.60 |
| Results tracked | 24 | 32 |
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Category by category
Coding Too close to call
Mistral Small 3: 36.5 (#207), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1246 | 1473 |
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| BigCodeBench Instruct | 45.3% | — |
| BigCodeBench Complete | 50.4% | — |
Agentic & Tool Use Not comparable
Mistral Small 3: —, Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
Mistral Small 3: 18.9 (#273), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| Chess Puzzles | 0% | 24% |
| LMArena Hard Prompts | 1233 | 1460 |
| Epoch Capabilities Index | 127.07 | 147.37 |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
Math Qwen3.7 Plus leads
Mistral Small 3: 16.3 (#295), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 93.3% |
| LMArena Math | 1240 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
Knowledge Qwen3.7 Plus leads
Mistral Small 3: 25.1 (#263), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 47.3% | 87.9% |
| LMArena Expert | 1202 | 1467 |
| Confabulations | 25.2% | — |
Multimodal Not comparable
Mistral Small 3: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
Mistral Small 3: 37.3 (#236), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1198 | 1445 |
| LMArena Chinese | 1204 | 1510 |
| LMArena French | 1203 | 1473 |
| LMArena German | 1211 | 1471 |
| LMArena Japanese | 1111 | 1413 |
| LMArena Korean | 1188 | 1415 |
| LMArena Russian | 1216 | 1457 |
| LMArena Spanish | — | 1457 |
Instruction Following Qwen3.7 Plus leads
Mistral Small 3: 63.7 (#229), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1214 | 1440 |
Long Context Qwen3.7 Plus leads
Mistral Small 3: 37.8 (#211), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1246 | 1455 |
Writing & Preference Qwen3.7 Plus leads
Mistral Small 3: 32.2 (#280), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Mistral Small 3 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1234 | 1455 |
| LMArena Creative Writing | 1195 | 1439 |
| LMArena Multi-Turn | 1217 | 1460 |
| EQ-Bench Creative Writing | 707 | — |
Frequently asked questions
Is Mistral Small 3 better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 12× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.
Which is cheaper, Mistral Small 3 or Qwen3.7 Plus?
Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Is Mistral Small 3 or Qwen3.7 Plus better for coding?
They score almost the same on coding (36.5 vs 36.6); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 33K.
How many benchmarks do Mistral Small 3 and Qwen3.7 Plus share?
20 benchmarks have published results for both models. Mistral Small 3 has 24 scored results on Noometry and Qwen3.7 Plus has 32.