qwen3.6-27b · Qwen
The Qwen3.6 series 27B native vision-language Dense model. Compared with the 3.5-27B, the model notably improves Agentic coding capability and further enhances STEM and reasoning abilities; on the visual modality side, spatial intelligence, object localization and detection capabilities are significantly strengthened, and video understanding, document OCR, and visual agent capabilities have steadily improved.
The Qwen3.6 series 27B native vision-language Dense model. Compared with the 3.5-27B, the model notably improves Agentic coding capability and further enhances STEM and reasoning abilities; on the visual modality side, spatial intelligence, object localization and detection capabilities are significantly strengthened, and video understanding, document OCR, and visual agent capabilities have steadily improved.
qwen3.6-27b has a 262,144 token context window. It supports up to 65,536 output tokens.
On AIHubMix, qwen3.6-27b costs $0.422 per million input tokens and $2.532 per million output tokens.
qwen3.6-27b accepts text, image and video input.
qwen3.6-27b supports tool calling, function calling, structured outputs, web search, long context and thinking. Per-protocol parameter support is listed in the capability table on this page.
qwen3.6-27b is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3.6-27b — no other code changes needed.
qwen3.6-27b is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use qwen3.6-27b via the AIHubMix unified API — one interface for every major LLM.