Model comparison
Mixtral 8x7B vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 26.8 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3.6 35B-A3B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.4 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 84.8% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Qwen3.6 35B-A3B accepts more context: 262K tokens versus 32K.
Side by side
| Mixtral 8x7B | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | 37.2 |
| Released | 2023-12-11 | 2026-04-01 |
| Weights | Open | Open |
| Context window | 32K | 262K |
| Max output | 32K | 66K |
| Input $ / M tokens | $0.70 | $0.25 |
| Output $ / M tokens | $0.70 | $1.49 |
| Results tracked | 38 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Mixtral 8x7B: 32.2 (#265), Qwen3.6 35B-A3B: 36.7 (#190)
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 1127 | — |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Agentic & Tool Use Not comparable
Mixtral 8x7B: —, Qwen3.6 35B-A3B: 21.9 (#126)
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
Mixtral 8x7B: 17.4 (#283), Qwen3.6 35B-A3B: 27.2 (#112)
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| DTBench | 49.6% | 73.9% |
| Epoch Capabilities Index | 118.38 | 143.92 |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1115 | — |
| Mystery Game Puzzles | — | 22% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Qwen3.6 35B-A3B leads
Mixtral 8x7B: 17.2 (#284), Qwen3.6 35B-A3B: 37.9 (#90)
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| Omni-MATH | 10.5% | — |
| LMArena Math | 1147 | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Qwen3.6 35B-A3B leads
Mixtral 8x7B: 11.0 (#296), Qwen3.6 35B-A3B: 51.4 (#63)
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 30.6% | 84.8% |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| LMArena Expert | 1088 | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Not comparable
Mixtral 8x7B: 29.8 (#261), Qwen3.6 35B-A3B: —
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1077 | — |
| LMArena Chinese | 1055 | — |
| LMArena French | 1165 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Russian | 1090 | — |
| LMArena Spanish | 1110 | — |
Instruction Following Not comparable
Mixtral 8x7B: 51.2 (#292), Qwen3.6 35B-A3B: —
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| IFEval | 57.5% | — |
| LMArena Instruction Following | 1110 | — |
Long Context Not comparable
Mixtral 8x7B: 33.4 (#255), Qwen3.6 35B-A3B: —
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1103 | — |
Writing & Preference Not comparable
Mixtral 8x7B: 34.4 (#265), Qwen3.6 35B-A3B: —
| Benchmark | Mixtral 8x7B | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1132 | — |
| LMArena Creative Writing | 1109 | — |
| WildBench | 67.3% | — |
| LMArena Multi-Turn | 1115 | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 26.8 on the Noometry Index.
Which is cheaper, Mixtral 8x7B or Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $1.49 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Mixtral 8x7B or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 36.7 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 35B-A3B does, with 262K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen3.6 35B-A3B share?
3 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3.6 35B-A3B has 14.