> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/pre-basic/providers/cherryai/free-glm46v.md).
# Zhipu GLM-4.6V
Cherry Studio users can now, via the built-in **CherryIN** service for free access **Zhipu GLM-4.6V**— The visual flagship model released by Z.ai (Zhipu AI) in December 2025, with a MoE architecture, 128K native multimodal context, and native multimodal tool calling, making it the preferred choice for image-text understanding and multimodal Agent scenarios.
***
## What is GLM-4.6V?
GLM-4.6V is the latest-generation vision-language model in Z.ai's GLM-V series, natively supporting unified modeling of text + images, and further expanding context and tool-calling capabilities on the basis of GLM-4.5V.
* Architecture: Mixture-of-Experts (MoE)
* Total parameters: 106B
* Activated parameters: about 12B
* Context length: 128K tokens
* Open-source license: MIT
* Release date: December 8–9, 2025
* Visual encoder: supports multi-resolution images (up to 4K)
The series also includes **GLM-4.6V-Flash (9B)**, aimed at local and low-latency scenarios, free for commercial use.
***
## Continues the multimodal training system of the GLM-V series
GLM-4.6V follows the technical path of GLM-4.1V-Thinking / GLM-4.5V, and has been further strengthened in vision and Agent directions:
1. **Native multimodal modeling**: jointly trained on text and images, supports mixed text-image input
2. **Context expansion**: training context expanded to 128K tokens, capable of processing about 150 pages of dense documents, 200 pages of slides, or 1 hour of video in a single pass
3. **Native multimodal tool calling**: tools can directly receive and return images, and multimodal artifacts are handled via URL using the extended MCP protocol
4. **Reinforcement learning enhancement**: continues the scalable RL pipeline of the GLM-V series
***
## Native multimodal, designed for real-world scenarios
GLM-4.6V's multimodal capabilities cover both everyday and professional scenarios:
* ✅ **Rich-text content understanding**: long documents, multi-page text, and mixed image-text layouts
* ✅ **Visual web search**: combined with visual input for web retrieval and understanding
* ✅ **Frontend recreation**: generate frontend code from design drafts or UI screenshots
* ✅ **Long-context multimodal document analysis**: whole PDF / slide / video-level input
* ✅ **Chart and table parsing**: structured information extraction
***
## Native multimodal tool calling and Agent capabilities
One of the core upgrades of GLM-4.6V is **"visual perception → executable action"** the closed loop: tool calling natively supports images as both input and output, enabling multimodal Agents to be deployed in real business scenarios.
| Scenario | Recommended usage | Example |
| ------------------------ | -------------------- | ---------------------------------------------------- |
| Simple image-text Q\&A | Direct conversation | "What's in this picture?" |
| Medium-complexity tasks | Enable tool calling | Retrieve data after reading charts |
| Complex multimodal Agent | Multiple tools + MCP | Screenshot → understand → call API → generate report |
***
## Efficient MoE, openly available
* ⚡ MoE sparse activation: 106B total parameters, only about 12B activated
* 💰 Through CherryIN in Cherry Studio **Free to use**
* 🖥️ The weights, inference code, and MCP tools have been open-sourced on GitHub and Hugging Face under the MIT license
***
## Focused on practical capabilities: multimodal assistant
GLM-4.6V is suitable for the following scenarios in real use:
* **Document assistant**: read and summarize long documents, scans, and entire slide decks
* **Data analysis**: identify and interpret chart and dashboard screenshots
* **Frontend and design**: generate or modify frontend code based on UI screenshots
* **Visual search**: combine images for web retrieval and information integration
* **Multimodal Agent**: use tools such as browser, code execution, and retrieval to complete complex tasks
***
## How to use in Cherry Studio?
1. Open Cherry Studio and go to **Settings → Model Services**.
2. Find **CherryIN** service provider and enable it.
3. Select **Zhipu GLM-4.6V**.
4. Return to the chat interface and switch to **GLM-4.6V**, you can directly upload images in the conversation for image-text interaction.
> 💡 Tip: The free model quota provided by CherryIN is covered by Cherry Studio officially, suitable for daily experience and evaluation; for production environments, it is recommended to use the official Z.ai (Zhipu) API.
***
📘 **Try Zhipu GLM-4.6V now and unlock native multimodal and visual Agent capabilities!**
***
### Get help and submit feedback
If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to [Feedback and Suggestions](/docs/en-us/question-contact/suggestions.md) for the official channels provided.
---
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