GLM-5V-Turbo - Zhipu AI's Native Multimodal Coding Foundation Model

What is GLM-5V-Turbo

GLM-5V-Turbo is a native multimodal Coding foundation model launched by Zhipu AI, designed for visual programming and AI Agents. The model deeply integrates visual and textual capabilities from the pretraining stage, supports understanding multimodal inputs such as images, videos, and design mockups, and has a context window of 200k. The model can understand interface screenshots and generate complete runnable code, and performs leadingly on benchmarks such as Design2Code and GUI Agent. At the same time, it deeply collaborates withClaude Code、AutoClawand other Agents, providing "see the image, write the code" and autonomous task execution capabilities, realizing an upgrade of the programming paradigm from plain text to visual interaction.

Main Features of GLM-5V-Turbo

• Design Mockup to Code: Automatically generate complete runnable front-end engineering code based on sketches, UI design mockups, or website screenshots, accurately reproducing the layout, color scheme, and interaction logic.
• Autonomous GUI Replication: The model can autonomously browse the target website and collect page structure, navigation relationships, and visual assets, ultimately generating code to replicate the entire site.
• Interactive Iterative Editing: Supports visual iteration on generated code, adding or removing page modules as needed, adjusting style layout, and supplementing interactive features such as button feedback and form linkage.
• Native Multimodal Understanding: Natively supports understanding multimodal inputs such as images, videos, design mockups, and document layouts, integrates tool-calling capabilities such as framing, screenshotting, and reading web pages, and has a context window of 200k.
• Agent Visual Enhancement: Deeply adapts to frameworks such as Claude Code and AutoClaw, realizing a complete loop of "understand the environment → plan actions → execute tasks," giving Agents true visual perception capabilities.
• Autonomous GUI Control: Has the ability to autonomously operate in real graphical interface environments such as Android and Web, and can complete element localization, page navigation, and task execution.
• Financial Chart Analysis: The model can directly understand complex charts in candlestick trends, valuation range charts, and brokerage research reports, and automatically generate professional illustrated analysis reports or PPTs.
• Multimodal Deep Research: Supports multimodal search and parallel data collection, and can integrate multiple information sources to complete deep research and output structured content.
• Out-of-the-Box Skills: Provides an official skill library integrating functions such as OCR text recognition, table recognition, handwriting recognition, formula recognition, text-to-image, and resume screening, available with one-click installation.

How to Use GLM-5V-Turbo

• Direct Experience on the Product Side
  • AutoClaw (Aolong): Visit theAutoClawofficial website to experience the Agent's visual capabilities and Skills such as "Stock Analyst."
  • Z.ai: Visit theZ.aiofficial website to directly perform multimodal conversations and programming tasks.
• API Development Integration
  • BigModel Open Platform: Via https://docs.bigmodel.cn/cn/guide/models/vlm/glm-5v-turbo to obtain API documentation and interfaces.
  • Z.ai Developer Platform: Visit https://docs.z.ai/guides/vlm/glm-5v-turbo to view the integration guide.
• Coding Plan Application (Priority Experience)
  • Applications are now open to Coding Plan users, and it will later be officially included in the GLM Coding Plan.
  • Application method: Fill out the Feishu questionnaire https://zhipu-ai.feishu.cn/share/base/form/shrcndgpmRlJoD5rMmIavUrPwzg。

Key Information and Usage Requirements of GLM-5V-Turbo

• Model Positioning: A native multimodal coding foundation model, designed for visual programming and AI Agent scenarios.
• Context Window: Supports 200k tokens.
• Core Architecture: Adopts the new-generation CogViT vision encoder, paired with an MTP structure that is compatible with multimodal input and inference-friendly.
• Performance Benchmarks: Design2Code 94.8 points, AndroidWorld 75.7 points, WebVoyager 88.5 points, maintaining the same level as its visual capabilities on the CC-Bench-V2 text-only programming benchmark.
• Training Method: 30+ task collaborative reinforcement learning, covering subdomains such as STEM, grounding, video, and GUI Agent, ensuring multiple capabilities improve collaboratively rather than degrade one another.
• Toolchain: Natively supports multimodal tool invocation such as drawing boxes, screenshots, reading web pages, and multimodal search.
• Ecosystem Integration: Deeply adapted to Agent frameworks such as Claude Code and AutoClaw, providing an out-of-the-box official Skills library.

Core Advantages of GLM-5V-Turbo

• Native Multimodal Deep Fusion: Native fusion of visual and textual capabilities from the pretraining stage, rather than later-stage stitching, achieving a true "understand the visuals, write the code" capability.
• Leading Visual Programming Capabilities: Outperforms comparable models on core benchmarks such as Design2Code (94.8 points) and Flame-VLM-Code (93.8 points), supporting precise restoration from sketches to complete front-end engineering.
• Zero Degradation in Text-Only Capabilities: Through multitask collaborative reinforcement learning technology, ensures that while visual capabilities are enhanced, text-only programming, reasoning, and tool-calling capabilities maintain their original level, with stable performance in the CC-Bench-V2 test.
• Enhanced Agent Visual Perception: Deeply adapted to Agent frameworks such as Claude Code and AutoClaw, giving them the ability to "understand the screen," with outstanding performance on GUI control benchmarks such as AndroidWorld (75.7 points) and WebVoyager (88.5 points).
• Complete Multimodal Toolchain: Natively supports tool invocation such as drawing boxes, screenshots, reading web pages, and multimodal search, extending the perception-action chain of programming and task execution from text-only to visual interaction.
• 30+ Task Collaborative Optimization: Through collaborative reinforcement learning covering fields such as STEM, grounding, video, and GUI Agent, achieves balanced improvement in capabilities such as perception, reasoning, and agentic execution, avoiding the capability imbalance caused by single-domain training.

Comparison of GLM-5V-Turbo with Similar Competitors

Application Scenarios of GLM-5V-Turbo

• Intelligent Frontend Development: Automatically generates a complete frontend project based on sketches, UI design mockups, or website screenshots, supporting website cloning and iterative development of interactive features.
• Agent Visual Enhancement: Provides visual perception capabilities for frameworks such as Claude Code and AutoClaw, enabling them to browse web pages, operate interfaces, and execute complex tasks.
• Financial Data Analysis: Directly interprets candlestick charts, valuation range charts, and brokerage research report charts, and concurrently collects multiple data sources to generate professional analysis reports or PPTs rich in both text and graphics.
• Multimodal Deep Research: Supports deep information retrieval and question answering by combining images, videos, and documents, enabling functions such as visual grounding, image captioning, and OCR recognition.
• Enterprise Automated Workflows: The model can directly understand design mockups for D2C development, process business documents containing complex charts, and complete automated testing and interface validation based on visual information.