Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Z.ai's June 2026 flagship and, by Artificial Analysis' ranking at the time, the strongest open-weight model available — fourth overall including closed models. A 744B-parameter Mixture-of-Experts with roughly 40B active per token and a genuinely usable 1M-token input context (output up to 131,072). Two selectable reasoning-effort levels. Released in stages between 13 and 17 June 2026: the Coding Plan first, then open weights on Hugging Face, then documentation. The MIT license is the notable part — full commercial use, modification and redistribution on a frontier-scale model.
| Licence | What it permits | Applies to |
|---|---|---|
MIT | Commercial use permitted Commercial use permitted. No usage restrictions beyond attribution. | GLM-5.2 744B |
| GLM-5.2 744B | Min 450 GB VRAM · Q4_K_M · 1,000,000 ctx · |
The cheapest GPU that runs GLM-5.2 locally (min 450 GB VRAM) is the Apple M3 Ultra (512 GB).
Install Ollama then run: ollama run
Minimum VRAM: 450 GB. For best results use Q4_K_M quantization.
GLM-5.2 needs about 450 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: GLM-5.2 744B (450 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
GLM-5.2's smallest variant needs about 450 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.
Q4_K_M is the best balance of quality and VRAM for GLM-5.2 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
Install Ollama, then run: ollama run . This downloads GLM-5.2 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.