Qwen2.5-VL is the latest flagship visual language model released by the Qwen team, representing a significant advancement in the field of visual language models. It can not only recognize common objects but also analyze complex content in images, such as text, charts, and icons, and supports understanding of long videos and event localization. The model performs exceptionally well in various benchmark tests, particularly excelling in document understanding and visual agent tasks, showcasing strong visual comprehension and reasoning abilities. Its main advantages include efficient multimodal understanding, powerful long video processing capabilities, and flexible tool invocation features, making it suitable for a variety of application scenarios.