Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.

ChatQwen262k tokens$0.2126 / $1.7005 · 1M

qwen/qwen3.5-27b

Context
262k tokens
Completion cap
65,536
Tools
Yes
JSON
Yes
Released
2026-02-25

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.5-27b",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Qwen3.5-27B?
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B. Qwen3.5-27B runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3.5-27b.
Is Qwen3.5-27B free?
No. Input is $0.2126 per 1M tokens and output is $1.7005 per 1M tokens on Geek Hub (markup included).
What is the context length of Qwen3.5-27B?
Qwen3.5-27B has a 262k tokens context window. It supports up to 65,536 completion tokens.
Does Qwen3.5-27B support tool calling and structured outputs?
Qwen3.5-27B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was Qwen3.5-27B released?
Qwen3.5-27B was released on 2026-02-25.

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