qwen3-vl-flash-2026-01-22 · 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 2026 01-22 has a 262,144 token context window.
On AIHubMix, Qwen3 VL Flash 2026 01-22 costs $0.0206 per million input tokens and $0.206 per million output tokens.
Qwen3 VL Flash 2026 01-22 accepts text, image and video input.
Qwen3 VL Flash 2026 01-22 supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
Qwen3 VL Flash 2026 01-22 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-2026-01-22 — no other code changes needed.
Qwen3 VL Flash 2026 01-22 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 2026 01-22 via the AIHubMix unified API — one interface for every major LLM.