ChatGLM
Zhipu AI's open-source bilingual chat model with strong Chinese-English dialogue and reasoning.
Overview
Zhipu AI’s open-source bilingual chat model with strong Chinese-English dialogue and reasoning.
ChatGLM: practical overview
Discover ChatGLM, Zhipu AI's free open-source bilingual chat model. Enjoy strong Chinese-English dialogue, code generation, and long context. Try it now!
ChatGLM is listed in the AI Chat category. This page summarizes the tool's known positioning, core features, pricing model, platform coverage, and common use cases so readers and AI answer engines can understand when the tool is relevant.
Key capabilities
- Open-source
- Bilingual support
- Tool calling
- Code generation
- Long context
Common use cases
- Bilingual customer support chatbots
- Code generation and debugging assistance
- Long-form content creation and editing
- Educational tutoring in Chinese and English
Tool facts
| Pricing model | Free |
|---|---|
| Platform | Web, API |
| Release date | March 2023 |
| Reported users | 10M+ users |
| Directory rating | 4.2 / 5 |
| Official website | chatglm.cn |
FAQ
What is ChatGLM?
ChatGLM is an open-source bilingual chat model developed by Zhipu AI, designed for strong Chinese-English dialogue and reasoning. It supports features like tool calling, code generation, and long context handling.
Is ChatGLM free to use?
Yes, ChatGLM is completely free to use. It is an open-source model, meaning you can access and deploy it without any cost.
What are the key features of ChatGLM?
ChatGLM offers open-source access, bilingual support (Chinese and English), tool calling, code generation, and long context capabilities. These features make it versatile for various AI chat applications.
Can ChatGLM generate code?
Yes, ChatGLM includes code generation capabilities, allowing it to assist with programming tasks in multiple languages. This makes it useful for developers and coders.
How does ChatGLM handle long conversations?
ChatGLM supports long context, enabling it to maintain coherence and understanding over extended dialogues. This is ideal for complex discussions or multi-turn interactions.