Qwen2-VL-2B is the latest iteration of the Qwen-VL model, representing nearly a year's worth of innovations. The model has achieved state-of-the-art performance on visual understanding benchmarks including MathVista, DocVQA, RealWorldQA, and MTVQA. It can comprehend over 20-minute videos, providing high-quality support for video-based question answering, dialogue, and content creation. Qwen2-VL also supports multiple languages, including most European languages, Japanese, Korean, Arabic, Vietnamese, in addition to English and Chinese. Model architecture updates include Naive Dynamic Resolution and Multimodal Rotary Position Embedding (M-ROPE), which enhance its multimodal processing capabilities.