Alibaba Tongyi Lab Open Sources Qwen3.6-35B-A3B Model
On April 16, Alibaba Tongyi Lab announced the open-sourcing of the Qwen3.6-35B-A3B model. This model employs a sparse Mixture of Experts (MoE) architecture with 35 billion total parameters, activating only 3 billion parameters per inference. Qwen3.6-35B-A3B significantly outperforms its predecessor Qwen3.5-35B-A3B in agent programming and can compete with larger dense models such as Qwen3.5-27B and Gemma-31B, while remaining compatible with mainstream coding assistants like OpenClaw, Claude Code, and Qwen Code
On April 16, Alibaba Tongyi Lab announced the open-source release of Qwen3.6-35B-A3B. According to the introduction, this is an efficient model based on a sparse Mixture of Experts (MoE) architecture: it has a total of 35 billion parameters but activates only 3 billion parameters during each inference.
In terms of agent programming, Qwen3.6-35B-A3B substantially surpasses its predecessor Qwen3.5-35B-A3B and can hold its own against larger dense models such as Qwen3.5-27B and Gemma-31B, while maintaining compatibility with mainstream coding assistants including OpenClaw, Claude Code, and Qwen Code.
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