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Alibaba Cloud (Qwen) Qwen3.6-35B-A3B VS Meta Muse Spark 1.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Muse Spark 1.1 is the premium intelligence choice, scoring 12.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Qwen3.6-35B-A3B is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Qwen3.6-35B-A3B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Muse Spark 1.1 fully justifies the cost.
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Model Specs

Qwen3.6-35B-A3B

Benchmarks & Scores

Coding (swe-bench-pro)
49.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
86%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Context Window
1M tokens
Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+12.0%)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+5.2%)
91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$2.00Input: $1.25 | Output: $4.25
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Qwen3.6-35B-A3B vs Muse Spark 1.1 comparison

Muse Spark 1.1 is better for coding tasks on this benchmark. It scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Qwen3.6-35B-A3B which scores 49.5%.