Z.ai’s GLM-5.2 is a 1 million token, MIT-licensed open weight model that costs a fraction of frontier AI prices, and I put it through real tests to show you exactly where it holds up and where it doesn’t.
I cover the three ways to actually use it (hosted web app, API and agent harness, or self-hosted if you have the infrastructure), build a webpage with it live, run it inside Cursor to create self-improving automation skills from my own meeting notes, generate a Remotion animation comparing GLM-5.2 against Opus 4.6, GPT-5.5, and Gemini 3.5, and show you a tool from Inference.net that lets you mirror production traffic to GLM-5.2 risk-free before fully committing.
If your workflows are long, code-heavy, document-heavy, or burning through tokens faster than you’d like, this model is worth serious attention. It’s not beating Claude or GPT across the board, but for the right use cases the cost difference alone changes the math.
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