Zhipu AI launches GLM-5V-Turbo to bridge visual design and autonomous coding

Apr 1, 2026 · Updated Apr 25, 2026

Zhipu AI launched GLM-5V-Turbo, a multimodal foundation model built for vision-centric coding. It features a 200K context window and supports 128K output tokens. Using a native CogViT visual encoder, the model processes images, videos, and document layouts alongside text to understand complex environments.

This release addresses the perception gap in agentic engineering. By fusing vision and text during pre-training, the model maintains text-only reasoning while gaining the ability to navigate websites and identify visual bugs. It provides the perceptual grounding needed for agents to close the loop between planning and execution.

You can integrate the model into frameworks like Claude Code and OpenClaw for automated frontend recreation. It is available now via the Z.ai API and chat interface. Developers can also apply for the Coding Plan trial to test its synergy with autonomous coding tools and visual grounding skills.

View the full update on docs.z.ai

Z.ai

@Zai_orgApr 1

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: https://t.co/WCqWT0qCQb API: https://t.co/xDy1O6ZPcz Coding Plan trial applications: https://t.co/qCM6cri0KK

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