GLM-5V-Turbo is a new foundation model designed natively for multimodal agents, integrating visual perception directly into reasoning, planning, tool use, and execution rather than treating it as an add-on. The model shows strong performance in multimodal coding, visual tool use, and agent framework tasks while maintaining competitive text-only coding ability. Key development insights include the importance of hierarchical optimization, multimodal perception as a core component, and reliable end-to-end verification for building capable multimodal agents.
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