GLM_5-2

Hyperstack AI Studio now serves GLM-5.2, the flagship open-weight reasoning and coding model from https://bit.ly/3QN1G3s . It's available through the same serverless API and Playground you already use, with a one million token context window and no GPUs to provision. In this tutorial, you'll learn: - What GLM-5.2 is and how it performs on coding and agentic benchmarks - How to set up your client and make your first chat completion call - How to turn the reasoning step on or off depending on your task - How to let the model call your own tools and chain them into an agentic loop - How to force structured JSON output for extraction and data pipelines - How to track token usage and cost on every request We run through all of this in the tutorial above. See the full text walkthrough on the Hyperstack Blog: https://bit.ly/3QN1GAu Get started on Hyperstack: https://bit.ly/4vRiaXi If this helped, like and subscribe for more GPU cloud and AI tutorials!