MACSTUDIOS.NET · Field Guide · Data verified Jul 2026

Cheapest Mac to run GLM-5.2

753B parameters (40B active) · quality index 51 · coding 79 · every Apple Silicon Mac ever sold, compared. It is a mixture-of-experts model: all 753B parameters must sit in memory, but only 40B compute per token, which is why it is faster than dense models of similar size.

GLM-5.2 only just fits a single Mac: a used Mac Studio M3 Ultra 32c/80c 512GB (2025) (~$7,457 EST.) can hold it at Q3_K_M — last-resort quantization quality — at roughly 22 tok/s. For Q4-or-better quality it needs ≈489GB resident: a multi-machine cluster, or a cloud API at about $4.4/1M output tokens.

Run it

ollama run glm-5.2 pulls the default (≈Q4) build once you have Ollama installed.

Or skip the hardware

Cloud APIs serve GLM-5.2 at about $4.4 per million output tokens. The main site's break-even solver computes the daily usage where owning a Mac becomes cheaper than renting.

Open the interactive guide — speed simulator, TCO, all 75 machines →
Estimates: used prices are market ballparks, speeds are bandwidth-model estimates (±30%) calibrated against llama.cpp benchmarks — the methodology documents every formula. Computed from the same dataset as the live tool.