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Alibaba Cloud (Qwen)Qwen3.6-35B-A3BVSMistral AIMixtral 8x22B v0.1

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Qwen3.6-35B-A3B and Mixtral 8x22B v0.1 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Qwen3.6-35B-A3B

Open Source

Benchmarks & Scores

Coding (swe-bench-pro)
49.5%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
86%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
Self HostLocal execution (zero API fees)
Context WindowLarger
262.14k tokens
Model Specs

Mixtral 8x22B v0.1

Open Source

Benchmarks & Scores

Coding (human-eval)
45.1%

basic standalone code completion and simple functions

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
Self HostLocal execution (zero API fees)
Context Window
65.54k tokens

Frequently Asked Questions about Qwen3.6-35B-A3B vs Mixtral 8x22B v0.1

For coding tasks, Qwen3.6-35B-A3B scores 49.5% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Mixtral 8x22B v0.1 scores 45.1% on human-eval (basic standalone code completion and simple functions).

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