---
title: GLM-4.6V — Multimodal Vision AI | ModelsLab
description: Generate code from images, process 128K tokens, native tool use. Try GLM-4.6V for vision-to-action workflows.
url: https://modelslab.com/zai-glm-46v
canonical: https://modelslab.com/zai-glm-46v
type: website
component: Seo/ModelPage
generated_at: 2026-05-02T16:18:43.579086Z
---

Available now on ModelsLab · Language Model

Z.ai: GLM 4.6V
Vision. Code. Action.
---

[Try Z.ai: GLM 4.6V](/models/open_router/z-ai-glm-4.6v) [API Documentation](https://docs.modelslab.com)

Multimodal Intelligence Meets Execution
---

Native Function Calling

### Images as Tool Inputs

Pass screenshots and documents directly to functions without text conversion or preprocessing steps.

Extended Context

### 128K Token Window

Process 150+ page documents or hour-long videos in a single inference pass for complex reasoning.

Design-to-Code

### Pixel-Accurate HTML Generation

Convert UI mockups and screenshots into clean, production-ready code with natural language edits.

Examples

See what Z.ai: GLM 4.6V can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/z-ai-glm-4.6v).

Website Cloning

“Analyze this screenshot of a modern SaaS landing page. Extract the layout structure, component hierarchy, color scheme, and typography. Generate semantic HTML5 and Tailwind CSS that recreates the design pixel-perfectly.”

Document Analysis

“Review this 50-page technical specification document with charts, tables, and diagrams. Extract key requirements, identify dependencies, and generate a structured JSON summary with sections, metrics, and implementation notes.”

UI Modification

“Here's a dashboard screenshot. Move the navigation menu from left to top, increase button padding by 8px, and change the primary color from blue to teal. Generate the updated CSS and HTML.”

Sketch to Component

“Convert this hand-drawn wireframe sketch into a React component. Infer the intended layout, add semantic structure, include placeholder content, and style with modern CSS for desktop and mobile viewports.”

For Developers

A few lines of code.
Screenshots to production code.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Z.ai: GLM 4.6V
---

[Read the docs ](https://docs.modelslab.com)

### What makes GLM-4.6V different from other vision models?

GLM-4.6V is the first multimodal model with native function calling, allowing images to be passed directly as tool inputs. This bridges visual perception and executable action in a single workflow, eliminating the need for intermediate text conversion.

### Can GLM-4.6V handle long documents?

Yes. With a 128K token context window, it processes 150+ page documents or hour-long videos in one pass, understanding text, layout, charts, tables, and figures jointly without prior conversion.

### How accurate is the image-to-code generation?

GLM-4.6V reconstructs pixel-accurate HTML and CSS from UI screenshots, detecting layouts, components, and styles visually. It supports iterative natural-language edits for refinement.

### What's the difference between GLM-4.6V and GLM-4.6V-Flash?

GLM-4.6V (106B) is optimized for cloud and high-performance clusters. GLM-4.6V-Flash (9B) is lightweight, designed for local deployment and low-latency applications.

### Does Z.ai GLM 4.6V support tool use and agents?

Yes. GLM-4.6V integrates native function calling with advanced reasoning, making it suitable for multi-step agentic tasks, search-based workflows, and tool-driven applications.

### What benchmarks does GLM-4.6V perform well on?

GLM-4.6V achieves performance among open-source models on MMBench, MathVista, OCRBench, and other multimodal benchmarks, excelling in visual understanding, logical reasoning, and long-context comprehension.

Ready to create?
---

Start generating with Z.ai: GLM 4.6V on ModelsLab.

[Try Z.ai: GLM 4.6V](/models/open_router/z-ai-glm-4.6v) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-02*