Qwen3-VL-2B-Thinking is a compact 2-billion parameter vision-language model from the Qwen team. It supports image and video inputs along with advanced features such as tool calling and step-by-step thinking. The model uses a sophisticated chat template with vision and video tokens and is suitable for research and lightweight deployment.
In the Foundation models & chat space, Qwen3 VL 2B Thinking takes a focused approach. It focuses on enabling efficient on-device or lightweight multimodal reasoning with vision, video, and tool use. Qwen3 VL 2B Thinking is an open-source project aimed at developers and researchers. Qwen3 VL 2B Thinking is open source under the Open Source license. It runs on the web, the command line, and API.
It is developed by Qwen, and it first shipped in 2025. It operates in a well-populated space: PulseGate tracks 14 similar projects. Key capabilities include vision-Language, Video Understanding, and Tool Calling. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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