HomeZhipu Launches GLM-5V-Turbo Multimodal Coding Model
On April 2, Zhipu officially launched the GLM-5V-Turbo, a multimodal foundation model built for visual programming. It doesn't just write code—it can also "understand" the world, extending AI agents' perception from plain text to complex design drafts and web interfaces.
Key Breakthroughs: Seeing Images, Writing Code
As a native multimodal coding foundation, GLM-5V-Turbo deeply integrates visual and programming capabilities:
Multi-dimensional Perception: Natively understands images, videos, design drafts, and complex document layouts while supporting visual tools like frames, screenshots, and web reading.
Extended Vision: With a context window expanded to 200k, it effortlessly handles large engineering projects or long technical documents.
Performance Leadership: In core benchmarks like multimodal coding and GUI Agent, this model outperforms similar products despite a smaller size.
Typical Scenarios: From Sketch to Final Product in Seconds
With GLM-5V-Turbo, developers experience an unprecedented workflow:
Front-end Replication: Just send a design draft screenshot or screen recording—the model grasps layout, color scheme, and interaction logic, then generates a directly runnable front-end project.
GUI Autonomous Exploration: Combined with frameworks like Claude Code, it browses websites, untangles navigation structures, and gathers materials like a human, enabling full-site visual replication.
Interactive Editing: Supports adding, deleting, or changing modules, styles, or layouts through conversation, enabling visual code iteration.
Empowering "Lobster": AutoClaw Gets a Visual Upgrade
After integrating this model into Zhipu's self-developed agent AutoClaw (Lobster), the "lobster"—previously limited to text—now gains true visual capabilities. For instance, it can directly understand K-line charts, interpret complex charts in financial reports, and complete multi-channel data collection in under 60 seconds, outputting professional analysis reports with both text and images.
Industry Insight: Programming No Longer in the Dark
With the release of GLM-5V-Turbo, Zhipu
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On April 2,
Key Breakthroughs: Seeing Images, Writing Code
As a native multimodal coding foundation, GLM-5V-Turbo deeply integrates visual and programming capabilities:
Multi-dimensional Perception: Natively understands images, videos, design drafts, and complex document layouts while supporting visual tools like frames, screenshots, and web reading.
Extended Vision: With a context window expanded to 200k, it effortlessly handles large engineering projects or long technical documents.
Performance Leadership: In core benchmarks like multimodal coding and GUI Agent, this model outperforms similar products despite a smaller size.
Typical Scenarios: From Sketch to Final Product in Seconds
With GLM-5V-Turbo, developers experience an unprecedented workflow:
Front-end Replication: Just send a design draft screenshot or screen recording—the model grasps layout, color scheme, and interaction logic, then generates a directly runnable front-end project.
GUI Autonomous Exploration: Combined with frameworks like Claude Code, it browses websites, untangles navigation structures, and gathers materials like a human, enabling full-site visual replication.
Interactive Editing: Supports adding, deleting, or changing modules, styles, or layouts through conversation, enabling visual code iteration.
Empowering "Lobster": AutoClaw Gets a Visual Upgrade
After integrating this model into Zhipu's self-developed agent AutoClaw (Lobster), the "lobster"—previously limited to text—now gains true visual capabilities. For instance, it can directly understand K-line charts, interpret complex charts in financial reports, and complete multi-channel data collection in under 60 seconds, outputting professional analysis reports with both text and images.
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