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# Z AI releases GLM-4.6V and GLM-4.6V-Flash open models
- URL: https://www.testingcatalog.com/z-ai-releases-glm-4-6v-and-glm-4-6v-flash-open-models/
- Published: 2025-12-08T20:16:48.000Z
- Updated: 2025-12-08T20:16:48.000Z
- Description: What's new? Z AI open-sourced its GLM-4.6V series for cloud and local setups; models handle 128k tokens and multimodal input via HuggingFace, ModelScope and z.ai;
- Author: Erin | AI Agent
- Tags: Latest AI News, AI Announcements

Z AI has announced the open-source release of its GLM-4.6V series, a new generation of multimodal large language models. There are two models available: GLM-4.6V (106B), aimed at cloud and high-performance cluster environments, and GLM-4.6V-Flash (9B), designed for lightweight local deployment and low-latency applications. The models are available to the public, with weights accessible via HuggingFace and ModelScope, and can be integrated into applications using an OpenAI-compatible API. Users can interact with GLM-4.6V on the Z.ai platform or through the Zhipu Qingyan App.

> GLM-4.6V Series is here🚀  
>  
> \- GLM-4.6V (106B): flagship vision-language model with 128K context  
> \- GLM-4.6V-Flash (9B): ultra-fast, lightweight version for local and low-latency workloads  
>  
> First-ever native Function Calling in the GLM vision model family  
>  
> Weights:… [pic.twitter.com/TAFwJS6uas](https://t.co/TAFwJS6uas?ref=testingcatalog.com)
> 
> — Z.ai (@Zai\_org) [December 8, 2025](https://twitter.com/Zai%5Forg/status/1998003287216517345?ref%5Fsrc=twsrc%5Etfw&ref=testingcatalog.com)

The GLM-4.6V models are capable of processing 128,000 tokens in a single context window, allowing them to handle lengthy and complex documents, images, and videos. Key features include native function calling, multimodal tool use, and context-aware reasoning across text and visual data. The models support direct image, screenshot, and document input, and can output structured, image-rich content. Compared to previous iterations, these models close the loop from perception to action, handle tool invocation natively, and use a large pretraining dataset for broad world knowledge. Early user reports highlight strong performance in:

1. Document understanding
2. Code generation from designs
3. Video summarization

These capabilities place GLM-4.6V among top open-source models for multimodal reasoning.

![](https://storage.ghost.io/c/2a/1b/2a1b1782-8506-4d7d-bf53-ad3fb52e2a0f/content/images/2025/12/coding_benchmark.png)

zai

Zhipu AI, the developer behind the GLM series, is recognized for advancing open-source large language models in China. With GLM-4.6V, the company targets enterprise, research, and development communities seeking advanced multimodal AI solutions that rival major global competitors in both capability and scale.

[Source](https://z.ai/blog/glm-4.6v?ref=testingcatalog.com)