Model comparison
Mistral vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-Flash leads 43.2 to 16.6.
Side by side
| Mistral | Qwen3.5-Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 42.5 |
| Released | — | 2026-02-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 22 | 32 |
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Category by category
Coding Too close to call
Mistral: 33.8 (#250), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1162 | 1412 |
| LMArena WebDev | — | 1244 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Mistral: —, Qwen3.5-Flash: —
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Mistral: 22.2 (#200), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1403 |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
Math Qwen3.5-Flash leads
Mistral: 22.3 (#278), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1180 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | 7.2% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Mistral: 16.6 (#288), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Expert | 1125 | 1407 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| MMLU-Pro | 27.7% | — |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | 30.3% | — |
Multilingual Qwen3.5-Flash leads
Mistral: 32.8 (#254), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1129 | 1385 |
| LMArena Chinese | 1109 | 1446 |
| LMArena French | 1180 | 1412 |
| LMArena German | 1155 | 1390 |
| LMArena Japanese | 1013 | 1368 |
| LMArena Korean | 1032 | 1344 |
| LMArena Russian | 1168 | 1379 |
| LMArena Spanish | 1143 | 1400 |
Instruction Following Qwen3.5-Flash leads
Mistral: 52.6 (#288), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1152 | 1374 |
| IFEval | 56.8% | — |
Long Context Qwen3.5-Flash leads
Mistral: 35.0 (#245), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1153 | 1392 |
Writing & Preference Qwen3.5-Flash leads
Mistral: 37.0 (#260), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Mistral | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1165 | 1397 |
| LMArena Creative Writing | 1158 | 1343 |
| LMArena Multi-Turn | 1147 | 1393 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 29.9 on the Noometry Index.
Is Mistral or Qwen3.5-Flash better for coding?
They score almost the same on coding (33.8 vs 34.2); test both on your own repository before choosing.
How many benchmarks do Mistral and Qwen3.5-Flash share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.5-Flash has 32.