Model comparison
Mistral Medium vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 42.2 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 1 category and Qwen3.6 27B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 91.1% for Qwen3.6 27B.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
Side by side
| Mistral Medium | Qwen3.6 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 42.2 |
| Released | 2023-12-11 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $1.50 | $0.60 |
| Output $ / M tokens | $7.50 | $3.60 |
| Results tracked | 36 | 11 |
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Category by category
Coding Qwen3.6 27B leads
Mistral Medium: 34.2 (#243), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| SciCode | 40.2% | 37.3% |
| FrontierCode | 8% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen3.6 27B: —
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Qwen3.6 27B leads
Mistral Medium: 24.0 (#167), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| CritPt | 0% | 0.9% |
| DTBench | 75.5% | 78.1% |
| LMCA | 26.1% | 34.5% |
| Kagi LLM Benchmark | 50% | — |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1426 | — |
| Mystery Game Puzzles | — | 7% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 146.5 |
Math Qwen3.6 27B leads
Mistral Medium: 28.1 (#245), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3.6 27B leads
Mistral Medium: 25.0 (#265), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 59.5% | 85.9% |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen3.6 27B: —
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), Qwen3.6 27B: —
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| 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 27B: —
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Not comparable
Mistral Medium: 42.9 (#114), Qwen3.6 27B: —
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1406 | — |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Mistral Medium | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 36.3 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3.6 27B?
Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Medium and Qwen3.6 27B share?
6 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3.6 27B has 11.