❯ Z.ai opens GLM-5.3 weights but makes $10B-revenue firms pass its own security review

the license changedZ.ai released GLM-5.3’s weights, swapping the permissive MIT license used for GLM-5.2 for a custom GLM-5.3 license: any company with aggregate revenue above $10 billion over any 12 consecutive months must pass Z.ai’s security review before hosting the model for commercial use.

who the clause targetsPer The New Stack, GLM-5.2 had run under a permissive license, and the new threshold aims squarely at hyperscalers and neoclouds — individuals and smaller teams keep their rights to run, deploy and fine-tune. GLM-5.3 is a 753-billion-parameter coding model, launched two weeks ago and held back from open release for safety hardening, which the company calls the strongest open-weight model for coding. Weights are on Hugging Face and several third-party inference services already serve it through OpenRouter. Local deployment is not cheap: FP8 needs roughly eight H200s, and an aggressive 2-bit quantization runs 230GB to 250GB.

where the gate sitsHyperscaler legal teams now have to clear a Chinese company’s security review before listing a model, a structure the open-weight ecosystem has not seen before. The default assumption that open weights mean free commercial use stops holding with this release, and enterprise inference compliance checklists need another line. Watch whether major cloud platforms delay listing it as a result.

▪ SIGNALAn open-source license is being used to screen who may host a model; Chinese labs are putting gates on their own distribution.