Model comparison
Mistral Large 4 vs Qwen3.6 27B
Mistral Large 4 and Qwen3.6 27B score almost the same on the Noometry Index (43.1 vs 42.2), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 36.6.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Qwen3.6 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 42.2 |
| Released | 2026-10-06 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.68 | $0.60 |
| Output $ / M tokens | $2.09 | $3.60 |
| Results tracked | 15 | 11 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| LMArena WebDev | 1541 | — |
| SciCode | — | 37.3% |
| LMArena Coding | 1475 | — |
Reasoning Qwen3.6 27B leads
Mistral Large 4: 22.5 (#192), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| NYT Connections (extended) | 27.4% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.5 |
Math Qwen3.6 27B leads
Mistral Large 4: 40.4 (#91), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 1488 | — |
Knowledge Qwen3.6 27B leads
Mistral Large 4: 36.6 (#166), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| SimpleQA Verified | 20% | — |
| LMArena Expert | 1447 | — |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), Qwen3.6 27B: —
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Not comparable
Mistral Large 4: 75.0 (#76), Qwen3.6 27B: —
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1424 | — |
Long Context Not comparable
Mistral Large 4: 43.6 (#89), Qwen3.6 27B: —
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1429 | — |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Mistral Large 4 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.6 27B?
Mistral Large 4 and Qwen3.6 27B score almost the same on the Noometry Index (43.1 vs 42.2), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 4 or Qwen3.6 27B?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.
Is Mistral Large 4 or Qwen3.6 27B better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do Mistral Large 4 and Qwen3.6 27B share?
0 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.6 27B has 11.