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Zhipu AI Releases GLM-5V-Turbo: Bridging the Gap in Multimodal Vision
Zhipu AI Releases GLM-5V-Turbo: Bridging the Gap in Multimodal Vision
 ### 歸藏(guizang.ai)@op7418
智谱发布 GLM-5V-Turbo 模型
我最近用 GLM-5 Turbo 非常频繁又快又好，就是有时候没办法发图
现在终于可以搞定了
#### Z.ai
@Zai_org · 10h ago
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.
API: docs.z.ai/guides/vlm/glm…
Coding Plan trial applications: docs.google.com/forms/d/e/1FAI…Show More
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Apr 2, 2026, 12:34 AM View on X
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2,735 Views  歸藏(guizang.ai) @op7418
One Sentence Summary
Zhipu AI launches the GLM-5V-Turbo model, featuring native multimodal vision support to enhance visual processing capabilities for code generation and Agent workflows.
Summary
Zhipu AI has officially released the GLM-5V-Turbo model, which specializes in multimodal programming tasks and can natively understand images, videos, design drafts, and document layouts. As an upgrade to the GLM-5 series, it retains the original speed and quality of code generation while addressing the previous limitation in visual processing. The model is also deeply optimized for Agent scenarios, including Claude Code and OpenClaw. As noted by the blogger Guizang, this update resolves the pain point of being unable to handle visual inputs, significantly improving the completeness of the development workflow.
AI Score
80
Influence Score 3
Published At Today
Language
Chinese
Tags
Zhipu AI
GLM-5V-Turbo
Multimodal Model
AI Programming
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