Model comparison
Mistral Large 4 vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 43.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 15 benchmarks with published results for both. Mistral Large 4 scores higher in 1 category and Qwen3.6 Plus in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 60.3% for Qwen3.6 Plus.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
Side by side
| Mistral Large 4 | Qwen3.6 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 47.5 |
| Released | 2026-10-06 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.68 | $0.50 |
| Output $ / M tokens | $2.09 | $3 |
| Results tracked | 15 | 37 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena WebDev | 1541 | 1461 |
| LMArena Coding | 1475 | 1467 |
| SWE-bench Verified | — | 57.9% |
| SciCode | — | 40.7% |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
Mistral Large 4: —, Qwen3.6 Plus: —
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Mistral Large 4: 22.5 (#192), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| NYT Connections (extended) | 27.4% | 60.3% |
| LMArena Hard Prompts | 1444 | 1449 |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Qwen3.6 Plus leads
Mistral Large 4: 40.4 (#91), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1488 | 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 Large 4: 36.6 (#166), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| SimpleQA Verified | 20% | 44.1% |
| LMArena Expert | 1447 | 1454 |
| GPQA Diamond | — | 88.4% |
Multilingual Too close to call
Mistral Large 4: 52.6 (#82), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1415 | 1424 |
| LMArena Chinese | 1491 | 1477 |
| LMArena Russian | 1414 | 1434 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Spanish | — | 1432 |
Instruction Following Too close to call
Mistral Large 4: 75.0 (#76), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1424 | 1425 |
Long Context Qwen3.6 Plus leads
Mistral Large 4: 43.6 (#89), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1429 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Mistral Large 4: 60.4 (#97), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Mistral Large 4 | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1427 | 1437 |
| LMArena Creative Writing | 1361 | 1404 |
| LMArena Multi-Turn | 1424 | 1438 |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 43.1 on the Noometry Index.
Which is cheaper, Mistral Large 4 or Qwen3.6 Plus?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.
Is Mistral Large 4 or Qwen3.6 Plus better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do Mistral Large 4 and Qwen3.6 Plus share?
15 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.6 Plus has 37.