Qwen3 VL 32B Instruct
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.
qwen/qwen3-vl-32b-instruct
- Context
- 131k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-10-23
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-vl-32b-instruct",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Qwen3 VL 32B Instruct?
- Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks. Qwen3 VL 32B Instruct runs on the Geek Hub API (OpenAI-compatible). Model id: qwen/qwen3-vl-32b-instruct.
- Is Qwen3 VL 32B Instruct free?
- No. Input is $0.1134 per 1M tokens and output is $0.4535 per 1M tokens on Geek Hub (markup included).
- What is the context length of Qwen3 VL 32B Instruct?
- Qwen3 VL 32B Instruct has a 131k tokens context window. It supports up to 32,768 completion tokens.
- Does Qwen3 VL 32B Instruct support tool calling and structured outputs?
- Qwen3 VL 32B Instruct accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Qwen3 VL 32B Instruct released?
- Qwen3 VL 32B Instruct was released on 2025-10-23.
More models from Qwen
Qwen Plus 0728Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Qwen Plus 0728 (thinking)Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Qwen-PlusQwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Qwen2.5 72B InstructQwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi
Qwen2.5 7B InstructQwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil
Qwen2.5 Coder 32B InstructQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig