Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.

ChatQwen1M tokens$0.0709 / $0.2834 · 1M

qwen/qwen3.5-flash-02-23

Context
1M 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-flash-02-23",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Qwen3.5-Flash?
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance. Qwen3.5-Flash runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3.5-flash-02-23.
Is Qwen3.5-Flash free?
No. Input is $0.0709 per 1M tokens and output is $0.2834 per 1M tokens on Geek Hub (markup included).
What is the context length of Qwen3.5-Flash?
Qwen3.5-Flash has a 1M tokens context window. It supports up to 65,536 completion tokens.
Does Qwen3.5-Flash support tool calling and structured outputs?
Qwen3.5-Flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was Qwen3.5-Flash released?
Qwen3.5-Flash was released on 2026-02-25.

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