Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.
qwen/qwen3.5-9b
- Context
- 262k tokens
- Completion cap
- 262,144
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-03-10
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/qwen3.5-9b",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Qwen3.5-9B?
- Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context. Qwen3.5-9B runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3.5-9b.
- Is Qwen3.5-9B free?
- No. Input is $0.109 per 1M tokens and output is $0.1635 per 1M tokens on Geek Hub (markup included).
- What is the context length of Qwen3.5-9B?
- Qwen3.5-9B has a 262k tokens context window. It supports up to 262,144 completion tokens.
- Does Qwen3.5-9B support tool calling and structured outputs?
- Qwen3.5-9B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Qwen3.5-9B released?
- Qwen3.5-9B was released on 2026-03-10.
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