Model comparison
Mistral Large 3 vs Qwen3.6 35B-A3B
Mistral Large 3 is the stronger model overall, scoring 39.1 to 37.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mistral Large 3 scores higher in 0 categories and Qwen3.6 35B-A3B in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 36.0.
- The biggest single-benchmark swing is NYT Connections (extended): 7.5% for Mistral Large 3 and 41.6% for Qwen3.6 35B-A3B.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.25 / $1.49 for Qwen3.6 35B-A3B.
Side by side
| Mistral Large 3 | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 37.6 |
| Released | 2025-12-02 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.25 |
| Output $ / M tokens | $0.75 | $1.49 |
| Results tracked | 24 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Mistral Large 3: 34.4 (#237), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena WebDev | 1230 | — |
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 1448 | — |
Agentic & Tool Use Not comparable
Mistral Large 3: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Mistral Large 3: 15.2 (#319), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | 7.5% | 41.6% |
| Kagi LLM Benchmark | 50.9% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.93 |
Math Too close to call
Mistral Large 3: 38.7 (#129), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1414 | — |
Knowledge Qwen3.6 35B-A3B leads
Mistral Large 3: 36.0 (#177), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| Vectara Hallucination Rate | 14.5% | — |
| LMArena Expert | 1421 | — |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen3.6 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Not comparable
Mistral Large 3: 52.5 (#84), Qwen3.6 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1455 | — |
| LMArena German | 1437 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Not comparable
Mistral Large 3: 74.0 (#108), Qwen3.6 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context Not comparable
Mistral Large 3: 43.1 (#105), Qwen3.6 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Mistral Large 3: 60.0 (#101), Qwen3.6 35B-A3B: —
| Benchmark | Mistral Large 3 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1386 | — |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3.6 35B-A3B?
Mistral Large 3 is the stronger model overall, scoring 39.1 to 37.6 on the Noometry Index.
Which is cheaper, Mistral Large 3 or Qwen3.6 35B-A3B?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3.6 35B-A3B lists at $0.25 and $1.49.
Is Mistral Large 3 or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Large 3 and Qwen3.6 35B-A3B share?
1 benchmark has published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.6 35B-A3B has 14.