The open-weights model family from Z.ai, a large reasoning model for the hardest questions. Pick it from the sidebar and it answers every turn.
GLM is a family of open-weights large language models from Z.ai, the Beijing lab formerly known as Zhipu AI. The line grew out of Tsinghua University research and has become one of the leading open-weights families, with a focus on reasoning, coding, and tool use.
Berges AI serves the current GLM model in its deep-thinking layer. It is a large model, so it goes deeper on hard questions than a small one and costs more units per reply. Pick GLM from the sidebar and it answers every turn. Your choice is remembered.
The weights are published openly, so anyone can audit them, fine-tune them, or host them. The license is MIT-style for almost everyone; only the very largest cloud providers must pass a review by Z.ai before offering it commercially.
GLM is one of the largest open-weights models. On questions with several dependent steps, it holds the thread and checks its own work more reliably than a small model.
Z.ai has trained the GLM line heavily on programming and agent work. Reading unfamiliar code, planning a change, and debugging are where it is strongest.
GLM was built for Chinese and English from the start, and it holds up well across other major languages.
Yes. Z.ai publishes the weights openly. You can run them yourself or use any open-weights host. Berges AI is one place to chat with GLM, with privacy as a default and encryption at rest.
When the question is hard: code, multi-step analysis, or a problem where a quick answer feels shallow. GLM is a large model, so each reply costs more of your plan's units than a small one.
Open weights, under Z.ai's own license. It lets you use, modify, and sell products built on the model, like MIT. The one extra condition applies only to cloud providers with more than $10 billion in yearly revenue, who need a review by Z.ai before hosting it commercially.