Overview
Z.ai brings together a browser-based chat, API access to GLM models, and software development tools. In the chat, users can ask questions, draft text, work with files, explore ideas, and create prototypes through natural-language instructions.
For tasks that need more deliberate analysis, Deep Think applies a deeper reasoning mode to the response. The interface also suggests starting points for creating web pages, educational materials, 3D models, mini-games, and blogs, making it easier to begin without technical experience.
Developers can integrate GLM models into applications through the Z.ai API. ZCode extends the ecosystem with an agent-assisted coding environment that can access files and the terminal and supports reviewing changes. This makes it possible to start in the chat and move to integrations or development workflows as needed.
Features and functionality
- Conversations with GLM models: send natural-language instructions to ask questions, develop ideas, and produce content.
- Deep Think mode: use deeper reasoning for requests that require analysis or planning.
- File-based work: attach materials to support reading, analysis, and creation. Through the API, multimodal GLM models can work with text, images, video, and files depending on the selected model and endpoint.
- Creation and coding: use guided starting points to build websites, write code, prepare teaching materials, create 3D models, develop mini-games, and assemble blogs.
- API for applications: use dedicated endpoints, SDKs, and OpenAI protocol compatibility to integrate GLM models into systems and automation.
- Tool calling and MCP: connect MCP servers and tools for search, visual analysis, file processing, and data in compatible integrations.
Use cases
- Research, synthesis, and writing: organize questions, summarize materials, prepare drafts, and revise explanations.
- Coding and web prototyping: request code, technical explanations, corrections, and page prototypes, with testing and review before use.
- Analysis of visual materials and documents: work with images, charts, screenshots, and files in compatible features.
- Product integration: connect GLM models to applications through APIs, SDKs, or tools that accept OpenAI-compatible endpoints.
- Agent-assisted development: use ZCode to combine models, files, commands, and review in longer coding tasks.
How to use
- Visit
chat.z.aiand describe the outcome you want, including relevant context, format, and constraints. - When the task needs more analysis, select the available reasoning mode. Use the file control to provide materials that help establish context.
- Review the response, verify facts, and run tests before reusing code, analyses, or recommendations.
- To integrate the models into an application, create an account, obtain a key, and select the appropriate endpoint in the documentation.
Required experience level
The chat is accessible to beginners because it works with natural-language instructions. Clear requests and careful review help produce more useful results. The API, MCP, and ZCode are better suited to people familiar with access keys, usage limits, and software development.
Integrations
Z.ai provides a REST API compatible with the OpenAI protocol, official SDKs, and connections to MCP servers. ZCode supports a Z.ai account or coding plan and can also work with an API key. The platform maintains separate endpoints for general use and coding, allowing developers to select the configuration that fits their project.
Plans and access
The chat can be opened in a browser before signing in, although some features may require an account. The ecosystem also provides a limited-time trial for new ZCode users, coding plans, and API access through account balance or packages. Conditions vary by feature, plan, and region, so review the pricing page before selecting an option.
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