Products/LLMs/Qwen3.6-35B-A3B

Qwen3.6-35B-A3B

The open sparse MoE model for agentic coding

LLMsFounded 2025Sparse MoE (Mix of Experts) architecture35B total parameters / 3B active parametersFrontier-level agentic coding capabilitiesNative multimodal reasoningDual thinking / non-thinking modesApache 2.0 licensedOpen-weight release

Our Take

The sparse MoE architecture here is the real move — 35B total params but only 3B active means it punches way above its weight class in coding tasks while actually being computationally efficient, unlike those dense giants that eat GPU for breakfast. It's Apache 2.0 licensed so it's genuinely free (not some "open" model hiding behind API walls), and the dual thinking/non-thinking mode is a smart touch for cases where you don't need full chain-of-thought overhead. The traction is solid for a day-old launch — #13 with 2.1K followers and JDoodle.ai already building on it — and seeing real developers actually use it matters more than vanity metrics.

Highly efficient open-source MoE model with 35B total and 3B active parameters, delivering frontier-level agentic coding and multimodal reasoning

Problem It Solves
Provides efficient AI coding assistance that rivals much larger dense models while being more computationally efficient
Target Customer
Developers building AI agents, software engineers, AI practitioners
Use Cases
Agentic coding, Multimodal reasoning, Rapid prototyping and iteration, Code generation, Building AI agents
Pricing Details
Open source - Apache 2.0 licensed
Free Tier
Full model available free
Differentiator
Sparse MoE model delivering frontier-level performance at 3B active parameters (competes above its weight class)
Why Now
First open-weight release in Qwen3.6 family
Traction
Customers Mentioned: JDoodle.ai, Knowlify · Notable Metrics: Day Rank #13, 114 points, 2.1K followers · Testimonials Count: 15

Key Facts

Category
LLMs
Location
, China
Founded
2025
Pricing
Free
Discovered via
product-hunt

The people behind Qwen3.6-35B-A3B

B

Binyuan Hui

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C

Chen Cheng

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C

Chenfei Wu

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J

Junyang Lin

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Z

Zac Zuo

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