GLM-4.5V

GLM-4.5V is a vision-language model in the GLM family developed by Z.ai, positioned as a general-purpose multimodal reasoning system. According to the GLM-4.5V technical report, it is the product of a two-stage training framework that first builds a strong vision foundation through large-scale pre-training and then applies Reinforcement Learning with Curriculum Sampling (RLCS) to broaden and deepen the model's capabilities. The same report describes a comprehensive evaluation across 42 public benchmarks in which GLM-4.5V achieves state-of-the-art performance among open-source models of similar size on nearly all tasks, while also remaining competitive with closed-source systems such as Gemini-2.5-Flash on demanding categories including coding and GUI-based agents.

The model is designed to handle a broad mix of real-world multimodal workloads rather than narrow perception alone. The reported RLCS stage targets STEM problem solving, video understanding, content recognition, coding, grounding, GUI-based agents, and long document interpretation, giving it practical utility for research assistants, developer tooling, document analysis, and interactive GUI automation. Z.ai has open-sourced GLM-4.5V alongside its paper, which makes the model attractive to teams that want a self-hostable multimodal baseline, and the same paper introduces a successor GLM-4.6V series that extends the family toward native tool use and a 128K context window, pointing to where the line is heading for agentic and long-context applications.