GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning

Researchers from Zhipu AI and Tsinghua University have developed GLM-4.1V-Thinking, a vision-language model (VLM) designed to significantly enhance general-purpose multimodal understanding and reasoning capabilities. This model incorporates Reinforcement Learning with Curriculum Sampling (RLCS), enabling it to excel across diverse tasks such as STEM problem-solving, video comprehension, content recognition, coding, and GUI-based agent interactions, surpassing traditional non-thinking models of similar size. By addressing the limitations of existing multimodal models, GLM-4.1V-Thinking represents a major step forward in multim