Qwen/Qwen3.6-27B
Qwen/Qwen3.6-27B is an open-weight, 27-billion parameter multimodal (Vision-Language) causal language model developed by Alibaba's Qwen team. Built with 64 layers and a native context window of 262,144 tokens (extensible up to 1,010,000 tokens), it delivers major performance upgrades in agentic coding, frontend workflows, repository-level reasoning, and historical reasoning context preservation for iterative software development.

Qwen/Qwen3.6-27B
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