Qwen3.6 27B introduces video processing capabilities alongside existing text and image support, with a 262K context window and built-in thinking mode for agentic coding and reasoning tasks.
Qwen3.6-27B is a 27B dense model that claims flagship-level coding performance surpassing the 397B Qwen3.5-397B-A17B. Available at 55.6GB full size or 16.8GB quantized.
Alibaba's Qwen Team has released Qwen3.6 27B, a 27-billion parameter multimodal language model with a 262,144-token context window. The model accepts text, image, and video inputs and includes a built-in thinking mode for extended reasoning, with pricing at $0.195 per million input tokens and $1.56 per million output tokens.
Alibaba Qwen released Qwen3.6-27B, a 27B parameter dense model that claims flagship-level coding performance surpassing their previous 397B MoE model across major coding benchmarks. The full model is 55.6GB compared to 807GB for the predecessor.
Alibaba Qwen released Qwen3.6-27B, a 27-billion parameter model with a 262,144 token context window extensible to 1,010,000 tokens. The model claims 77.2% on SWE-bench Verified and 53.5% on SWE-bench Pro, with open weights available on Hugging Face.