Model comparison
Mistral vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 16.6.
Side by side
| Mistral | Qwen3.7 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 39.9 |
| Released | — | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.03 |
| Output $ / M tokens | — | $0.13 |
| Results tracked | 22 | 7 |
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Category by category
Coding Not comparable
Mistral: 33.8 (#250), Qwen3.7 Flash: —
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1162 | — |
Reasoning Qwen3.7 Flash leads
Mistral: 22.2 (#200), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1149 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Qwen3.7 Flash leads
Mistral: 22.3 (#278), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
Knowledge Qwen3.7 Flash leads
Mistral: 16.6 (#288), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
Multilingual Not comparable
Mistral: 32.8 (#254), Qwen3.7 Flash: —
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), Qwen3.7 Flash: —
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#245), Qwen3.7 Flash: —
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), Qwen3.7 Flash: —
| Benchmark | Mistral | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 29.9 on the Noometry Index.
How many benchmarks do Mistral and Qwen3.7 Flash share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.7 Flash has 7.