GLM 4 32B is a cost-effective foundation language model.
It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks.
It is made by the same lab behind the thudm models.
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.