Guide to Using the GLM-5.1 API with Code Examples
This article provides a comprehensive guide on how to use the GLM-5.1 API, which is an OpenAI-compatible large language model offered by BigModel. It covers authentication, making requests, streaming, integrating with tools, and end-to-end testing using Apidog.
Why it matters
The GLM-5.1 API is a powerful OpenAI-compatible model that can enable a wide range of AI-powered applications. Understanding how to effectively integrate and test the API is crucial for developers building the next generation of AI-driven products and services.
Key Points
- 1GLM-5.1 is available through the BigModel API and is OpenAI-compatible
- 2Requires a BigModel account, API key, and model name 'glm-5.1'
- 3Detailed steps for authentication, making requests, and handling streaming responses
- 4Integrating with tools like Apidog for efficient testing and validation
Details
The GLM-5.1 model is the flagship agent model from Z.AI, released in April 2026. It has achieved top rankings on major coding benchmarks like SWE-Bench Pro, making it a valuable tool for building AI coding assistants, autonomous agents, and long-term task execution applications. Since the API is OpenAI-compatible, existing GPT-4 and Claude projects can be easily migrated by just updating the base URL and model name to 'glm-5.1'. The article provides detailed code examples in both Python and Node.js for making API requests, handling streaming responses, and integrating with testing tools like Apidog to efficiently validate API behavior without incurring usage costs.
No comments yet
Be the first to comment