Originally published on AI Tech Connect.
What you need to know Open-weight, MIT licence. The weights are downloadable from Hugging Face and ModelScope under permissive MIT terms — download, fine-tune, ship commercially, self-host. It is open-weight, not open-source: the training data and pipeline are not published. Frontier-adjacent on coding. 81.0 on Terminal-Bench 2.1, 62.1 on SWE-bench Pro, and within ~1% of Opus 4.8 on FrontierSWE — while beating GPT-5.5 on multiple long-horizon coding tasks. Roughly a sixth of the cost. Z.ai prices the metered API at $1.40 per million input tokens and $4.40 per million output tokens, or a flat GLM Coding Plan from about $18 a month. The catch is data residency. The hosted API runs through Z.ai's China-based infrastructure. For regulated or personal data, self-host the MIT weights instead so…
