Model comparison
Mistral Medium 3.5 vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 40.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 0 categories and Qwen3.6 Plus in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 40.0.
- The biggest single-benchmark swing is NYT Connections (extended): 12.9% for Mistral Medium 3.5 and 60.3% 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 3.5.
- Qwen3.6 Plus accepts more context: 1M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.5 | Qwen3.6 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 40.2 | 47.5 |
| Released | — | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 210K | 66K |
| Input $ / M tokens | $1.50 | $0.50 |
| Output $ / M tokens | $7.50 | $3 |
| Results tracked | 22 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
Mistral Medium 3.5: 36.0 (#213), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena WebDev | 1264 | 1461 |
| LMArena Coding | 1461 | 1467 |
| SWE-bench Verified | — | 57.9% |
| SciCode | — | 40.7% |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, Qwen3.6 Plus: —
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Mistral Medium 3.5: 17.3 (#295), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| NYT Connections (extended) | 12.9% | 60.3% |
| LMArena Hard Prompts | 1436 | 1449 |
| Epoch Capabilities Index | 141.35 | 147.65 |
| Kagi LLM Benchmark | 41.4% | — |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
Math Qwen3.6 Plus leads
Mistral Medium 3.5: 39.1 (#113), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1431 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
Mistral Medium 3.5: 40.0 (#126), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1432 | 1454 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
Multimodal Not comparable
Mistral Medium 3.5: 38.3 (#65), Qwen3.6 Plus: —
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1223 | — |
Multilingual Qwen3.6 Plus leads
Mistral Medium 3.5: 51.9 (#100), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1404 | 1424 |
| LMArena Chinese | 1442 | 1477 |
| LMArena French | 1448 | 1455 |
| LMArena German | 1451 | 1452 |
| LMArena Korean | 1385 | 1379 |
| LMArena Russian | 1395 | 1434 |
| LMArena Spanish | 1409 | 1432 |
| LMArena Japanese | — | 1389 |
Instruction Following Too close to call
Mistral Medium 3.5: 74.6 (#90), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1415 | 1425 |
Long Context Qwen3.6 Plus leads
Mistral Medium 3.5: 43.2 (#103), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1415 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Mistral Medium 3.5: 58.5 (#117), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Mistral Medium 3.5 | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1421 | 1437 |
| LMArena Creative Writing | 1374 | 1404 |
| LMArena Multi-Turn | 1423 | 1438 |
| EQ-Bench 4 | 993 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 40.2 on the Noometry Index.
Which is cheaper, Mistral Medium 3.5 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 3.5 lists at $1.50 and $7.50.
Is Mistral Medium 3.5 or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 36.0 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 3.5 and Qwen3.6 Plus share?
19 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.6 Plus has 37.