GLM-5
GLM-5 is a 744B-parameter model you reach through an API, with 40B parameters active per token — too large to self-host, so this page covers what it does, how to access it, and what to run locally instead.
You don't run GLM-5 locally
At 744B parameters (40B active per token), a Q4-class build of GLM-5 would need roughly 446 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom (0.6 GB per billion parameters, our standard Q4 rule). Access is through the hosted API.
Cloud/API only GLM-5, Zhipu AI's latest reasoning model with MoE architecture.
Strong local alternatives
More Zhipu models
Frequently asked questions
Can I run GLM-5 locally?
Not realistically. GLM-5 is a 744B-parameter model (40B active); a Q4-class build would need roughly 446 GB — only a maxed-out 512GB Mac Studio could even hold the weights, with no real headroom. The hosted API or a smaller open model is the practical path.
How do I access GLM-5?
Through the vendor-hosted API. See the official source linked on this page.
What is the best local alternative to GLM-5?
Qwen3 235B A22B is the strongest local model we track (235B). It runs on a single high-memory Mac or GPU; see its page for exact hardware.
Cite this page
ModelFit: GLM-5 — specs, memory math and hardware verdicts. https://modelfit.io/models/glm-5/ (dataset updated 2026-09-03, CC BY 4.0).