On April 2, Zhipu officially launched a multi-modal Coding foundation model specifically designed for visual programming — GLM-5V-Turbo. This model not only writes code but also has the ability to "understand" the world, aiming to extend the perception pipeline of AI Agents from boring characters to rich design drafts and web interfaces.

Core Breakthrough: Understand Visuals and Write Code

As a native multi-modal Coding foundation model, GLM-5V-Turbo achieves deep integration of visual and programming capabilities:

Native Multi-modal Perception: It can deeply understand images, videos, design drafts, and complex document layouts, supporting visual tool calls such as screen frames, screenshots, and web browsing.

Extended Vision: The context window has been significantly expanded to 200k, allowing Agents to easily handle large projects or long technical documents.

Performance Leap: In core benchmark tests such as multi-modal Coding and GUI Agent (Graphical User Interface Agent), this model achieved leading performance with a smaller size, while ensuring that logical reasoning in pure text scenarios does not degrade.

Typical Scenarios: A Second-by-Second Leap from "Sketch" to "Final Product"

The addition of GLM-5V-Turbo allows developers to experience an unprecedented workflow:

Front-end Replication: Just send a sketch, a design draft screenshot, or a screen recording, and the model can understand the layout, color scheme, and interaction logic, generating a complete and functional front-end project that accurately replicates visual details.

GUI Autonomous Exploration: Combined with frameworks like Claude Code, it can autonomously browse websites, sort out navigation relationships, and collect materials, achieving a leap from "image-based replication" to "active exploration replication."

Interactive Editing: It supports adding, removing, or modifying modules, texts, or layouts directly through conversation, enabling visual code iteration.

Empowering "Lobster": AutoClaw Undergoes Visual Evolution

After integrating this model into Zhipu's self-developed agent AutoClaw (Lobster), the "Lobster," which originally could only handle text tasks, now has true visual capabilities.

Deep Interpretation of Charts: Lobster can now directly understand K-line charts, valuation range charts, and broker research reports.

Efficient Output: It supports parallel collection from four data sources within 60 seconds, automatically generating professional analytical reports or PPTs with rich graphics and text.

Industry Insight: Programming Is No Longer "Feeling in the Dark"

With the release of GLM-5V-Turbo, Zhipu successfully shifted AI's understanding from simple grammatical logic to perceptual logic. When AI can "see" the screen and understand the human operating environment, true automated programming assistance (Agentic Coding) has truly begun.