Model comparison
Mistral Medium vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 36.3 on the Noometry Index.
Last verified . 6 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 6 benchmarks with published results for both. Mistral Medium scores higher in 0 categories and Qwen3.6 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 84.4% for Qwen3.6 Flash.
- Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Qwen3.6 Flash accepts more context: 1M tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | Qwen3.6 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 38.8 |
| Released | 2023-12-11 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $1.50 | $0.19 |
| Output $ / M tokens | $7.50 | $1.13 |
| Results tracked | 36 | 13 |
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Category by category
Coding Not comparable
Mistral Medium: 34.2 (#243), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| ALE-Bench | 763.98 | 326.4 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Qwen3.6 Flash leads
Mistral Medium: 24.0 (#167), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| DTBench | 75.5% | 77.1% |
| LMCA | 26.1% | 31% |
| SimpleBench | — | 35.2% |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1426 | — |
| Mystery Game Puzzles | — | 18% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 143.26 |
Math Qwen3.6 Flash leads
Mistral Medium: 28.1 (#245), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 84.4% |
| FrontierMath (Feb 2025 set) | 0.3% | 10.3% |
| FrontierMath (Tiers 1-3) | — | 22.5% |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.6 Flash leads
Mistral Medium: 25.0 (#265), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 59.5% | 83.3% |
| Humanity's Last Exam | 4.5% | — |
| SimpleQA Verified | — | 15.9% |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.7 (#116), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Not comparable
Mistral Medium: 42.9 (#114), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
Mistral Medium: 60.0 (#103), Qwen3.6 Flash: —
| Benchmark | Mistral Medium | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 36.3 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3.6 Flash?
Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 262K.
How many benchmarks do Mistral Medium and Qwen3.6 Flash share?
6 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3.6 Flash has 13.