GLM-5.1
GLM-5.1 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-5.1 locally
At 744B parameters (40B active per token), a Q4-class build of GLM-5.1 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.
Apr 7, 2026 from Z.ai. 754B total, 40B active MoE with DeepSeek Sparse Attention. SWE-Bench Pro 58.4. MIT license. Local GGUF available (200-220GB).
Strong local alternatives
More Zhipu models
Frequently asked questions
Can I run GLM-5.1 locally?
Not realistically. GLM-5.1 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-5.1?
Through the vendor-hosted API. See the official source linked on this page.
What is the best local alternative to GLM-5.1?
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-5.1 — specs, memory math and hardware verdicts. https://modelfit.io/models/glm-5.1/ (dataset updated 2026-09-03, CC BY 4.0).