Qwen
Qwen2.5-VL-32B-Instruct is an advanced multimodal model from the Tongyi Qianwen team that can recognize objects, analyze text and graphics in images, operate tools, locate objects in images, and generate structured outputs. Through reinforcement learning, it has improved mathematics and problem-solving capabilities, with a more concise and natural response style.
Qwen2.5-VL-32B-Instruct is an advanced multimodal model from the Tongyi Qianwen team that can recognize objects, analyze text and graphics in images, operate tools, locate objects in images, and generate structured outputs. Through reinforcement learning, it has improved mathematics and problem-solving capabilities, with a more concise and natural response style.
On AIHubMix, Qwen/Qwen2.5-VL-32B-Instruct costs $0.24 per million input tokens and $0.24 per million output tokens.
Qwen/Qwen2.5-VL-32B-Instruct accepts text, image and video input.
Qwen/Qwen2.5-VL-32B-Instruct supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
Qwen/Qwen2.5-VL-32B-Instruct is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to Qwen/Qwen2.5-VL-32B-Instruct — no other code changes needed.
Qwen/Qwen2.5-VL-32B-Instruct is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use Qwen/Qwen2.5-VL-32B-Instruct via the AIHubMix unified API — one interface for every major LLM.