Model comparison
Mistral Medium vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 36.0 on the Noometry Index.
Last verified . 25 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 25 benchmarks with published results for both. Mistral Medium scores higher in 0 categories and Qwen3.6 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 93.3% for Qwen3.6 Plus.
- Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Qwen3.6 Plus 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 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 47.3 |
| Released | 2023-12-11 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $1.50 | $0.50 |
| Output $ / M tokens | $7.50 | $3 |
| Results tracked | 36 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
Mistral Medium: 33.8 (#241), Qwen3.6 Plus: 40.6 (#125)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| SciCode | 40.2% | 40.7% |
| LMArena Coding | 1434 | 1467 |
| ALE-Bench | 763.98 | 670.15 |
| SWE-bench Verified | — | 57.9% |
| FrontierCode | 8% | — |
| LMArena WebDev | — | 1461 |
| WeirdML | 43.7% | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.1 (#84), Qwen3.6 Plus: —
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Mistral Medium: 23.3 (#165), Qwen3.6 Plus: 28.5 (#89)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| CritPt | 0% | 2.9% |
| LMArena Hard Prompts | 1426 | 1449 |
| DTBench | 75.5% | 81.9% |
| LMCA | 26.1% | 33.1% |
| Kagi LLM Benchmark | 50% | — |
| NYT Connections (extended) | — | 60.3% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 147.67 |
Math Qwen3.6 Plus leads
Mistral Medium: 27.2 (#238), Qwen3.6 Plus: 50.6 (#44)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 93.3% |
| LMArena Math | 1409 | 1450 |
| FrontierMath (Feb 2025 set) | 0.3% | 26.2% |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
Mistral Medium: 24.9 (#260), Qwen3.6 Plus: 56.1 (#40)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 59.5% | 88.4% |
| LMArena Expert | 1408 | 1456 |
| Humanity's Last Exam | 4.5% | — |
| SimpleQA Verified | — | 44.1% |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 34.6 (#82), Qwen3.6 Plus: —
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Qwen3.6 Plus leads
Mistral Medium: 52.3 (#86), Qwen3.6 Plus: 53.5 (#66)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1408 | 1424 |
| LMArena Chinese | 1448 | 1478 |
| LMArena French | 1460 | 1454 |
| LMArena German | 1433 | 1451 |
| LMArena Japanese | 1378 | 1389 |
| LMArena Korean | 1382 | 1381 |
| LMArena Russian | 1411 | 1434 |
| LMArena Spanish | 1433 | 1432 |
Instruction Following Qwen3.6 Plus leads
Mistral Medium: 73.9 (#111), Qwen3.6 Plus: 75.2 (#70)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1398 | 1425 |
Long Context Qwen3.6 Plus leads
Mistral Medium: 42.9 (#108), Qwen3.6 Plus: 45.1 (#48)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1406 | 1440 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Mistral Medium: 60.2 (#97), Qwen3.6 Plus: 62.4 (#78)
| Benchmark | Mistral Medium | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1424 | 1437 |
| LMArena Creative Writing | 1391 | 1405 |
| LMArena Multi-Turn | 1418 | 1438 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.3 to 36.0 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3.6 Plus?
Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.6 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Plus does, with 1M tokens against 262K.
How many benchmarks do Mistral Medium and Qwen3.6 Plus share?
25 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3.6 Plus has 37.