CogVLM2, developed by a team from Tsinghua University, is a second-generation multimodal pre-trained dialogue model. It has achieved significant improvements in multiple benchmark tests, supports 8K content length and a resolution of 1344*1344 for images. CogVLM2 offers both Chinese and English versions that are open-source, achieving performance comparable to some non-open-source models.