88Z AI, 2 April — Zhipu has released GLM-5V-Turbo, a multimodal coding foundation model that natively integrates visual and text capabilities. It supports generating runnable code directly from design drafts or screenshots, with a context window of 200k. The model leads in multimodal coding and GUI Agent benchmarks and is deeply adapted to frameworks like Claude Code and AutoClaw, enabling AI agents with visual perception.
At a glance
- GLM-5V-Turbo natively integrates visual and text capabilities, supporting code generation from designs with a 200k context window.
- The model adapts to frameworks like Claude Code, empowering AI agents with vision and leading in benchmarks.
The update
Zhipu has officially launched GLM-5V-Turbo, a foundation model designed for multimodal coding tasks. This model achieves native integration of visual and text capabilities, allowing it to understand design drafts and screenshots and convert them directly into runnable code, with a context window length of 200k. In various benchmarks, GLM-5V-Turbo demonstrates leading performance in multimodal programming and GUI agent domains. Furthermore, the model is deeply adapted to mainstream agent frameworks such as Claude Code and AutoClaw. By endowing AI agents with 'visual' capabilities, it significantly enhances their automation efficiency and application potential in complex interaction scenarios.
Sources & editorial note
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