by Qwen
The Qwen3 series of compact visual-understanding models achieves an effective fusion of thinking mode and non-thinking mode, outperforming the open-source Qwen3-VL-30B-A3B with faster response speeds. It comprehensively upgrades image and video understanding, supporting ultra-long contexts such as long videos and long documents, spatial awareness, and universal object recognition; it also possesses visual 2D/3D localization capabilities and is capable of handling complex real-world tasks.
The Qwen3 series of compact visual-understanding models achieves an effective fusion of thinking mode and non-thinking mode, outperforming the open-source Qwen3-VL-30B-A3B with faster response speeds. It comprehensively upgrades image and video understanding, supporting ultra-long contexts such as long videos and long documents, spatial awareness, and universal object recognition; it also possesses visual 2D/3D localization capabilities and is capable of handling complex real-world tasks.
qwen3-vl-flash has a 254,000 token context window.
On AIHubMix, qwen3-vl-flash costs $0.02 per million input tokens and $0.21 per million output tokens. Cached input reads are billed at $0.0041 per million tokens.
qwen3-vl-flash accepts text, image and video input.
qwen3-vl-flash supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
qwen3-vl-flash 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 qwen3-vl-flash — no other code changes needed.
qwen3-vl-flash is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use qwen3-vl-flash via the AIHubMix unified API — one interface for every major LLM.