GLM-5V-Turbo: A Native Multimodal Foundation Model for Agentic AI Tasks

Summary

GLM-5V-Turbo is a new multimodal foundation model developed by the GLM-V Team that integrates perception, reasoning, planning, tool use, and execution as core components rather than treating multimodal capabilities as an auxiliary interface. The model shows strong performance in multimodal coding, visual tool use, and agentic tasks while maintaining competitive text-only coding abilities. The report covers improvements in model design, multimodal training, reinforcement learning, toolchain expansion, and integration with agent frameworks, offering practical insights for building multimodal agents.