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Alibaba Cloud (Qwen)

Qwen3.6-35B-A3B

VS
Mistral AI

Mixtral 8x7B v0.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen3.6-35B-A3B is the premium intelligence choice, scoring 49.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mixtral 8x7B v0.1 is 1.0x cheaper to run and delivers 1.1x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mixtral 8x7B v0.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen3.6-35B-A3B fully justifies the cost.

Model Specs

Qwen3.6-35B-A3B

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
49.5%
Reasoning (gpqa-diamond)Winner (+)
86%

Cost & Performance

Cost (per 1M tokens)
$0.56Input: $0.25 | Output: $1.50
Speed
128 tps
Context WindowLarger
1M tokens
Model Specs

Mixtral 8x7B v0.1

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.1x faster
140 tps
Context Window
32k tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mixtral 8x7B v0.1 is faster than Qwen3.6-35B-A3B. Mixtral 8x7B v0.1 generates 140 tokens per second (tps) compared to Qwen3.6-35B-A3B which generates 128 tokens per second.

Qwen3.6-35B-A3B is better for coding tasks. It scores 49.5% on coding evaluations (swe-bench-pro) compared to Mixtral 8x7B v0.1 which scores N/A.

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