GLM-5.2: The Most Powerful Open-Weight Model Yet — and the Brutal Reality of Running It Locally
Summary
GLM-5.2 is a 753B-parameter open-weight model with MIT license and a 1M-token context, featuring an IndexShare architecture that aims to reduce per-token compute. The article analyzes how realistic it is to run locally, documents memory and hardware requirements (1.51 TB full weights; 3–9 tokens/sec on a Mac Studio M3 Ultra with 256–512 GB memory), and discusses cost trade-offs between renting, API use, or owning high-end hardware. It concludes that such a model is powerful but not generally runnable at home, making renting or API access more practical for most users.