DeepSeek-VL2 is a series of advanced large-scale Mixture of Experts (MoE) visual language models, significantly improved compared to its predecessor, DeepSeek-VL. This model series demonstrates exceptional capabilities across various tasks, including visual question answering, optical character recognition, document/table/chart understanding, and visual localization. The DeepSeek-VL2 series consists of three variants: DeepSeek-VL2-Tiny, DeepSeek-VL2-Small, and DeepSeek-VL2, with 1.0B, 2.8B, and 4.5B active parameters, respectively. DeepSeek-VL2 achieves competitive or state-of-the-art performance compared to existing open-source dense and MoE-based models with similar or fewer active parameters.