Qwen3.5-9B (batch)

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.

ChatQwen262k tokens$0.1853 / $0.2725 · 1M

qwen/qwen3.5-9b:batch

Context
262k tokens
Completion cap
235,929
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:batch",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is Qwen3.5-9B (batch)?
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 (batch) runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3.5-9b:batch.
Is Qwen3.5-9B (batch) free?
No. Input is $0.1853 per 1M tokens and output is $0.2725 per 1M tokens on Geek Hub (markup included).
What is the context length of Qwen3.5-9B (batch)?
Qwen3.5-9B (batch) has a 262k tokens context window. It supports up to 235,929 completion tokens.
Does Qwen3.5-9B (batch) support tool calling and structured outputs?
Qwen3.5-9B (batch) 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 (batch) released?
Qwen3.5-9B (batch) was released on 2026-03-10.

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