GLM 4.7
GLM-4.7 is Z.ai's open-weights coding partner for agentic workflows: a 358-billion-parameter Mixture-of-Experts with 32B active per token, a 200K-token context window, and interleaved, preserved, and turn-level thinking modes, released under the MIT license.
Model
GLM-4.7 is a 92-layer Mixture-of-Experts transformer with 160 routed experts plus one shared expert, activating 8 experts per token for 32B active parameters out of 358B total, and it supports a 200K-token context window. Z.ai positions it as a coding partner: compared with GLM-4.6 it improves multilingual agentic coding and terminal tasks, produces cleaner web pages and slides, uses tools more reliably, and delivers stronger mathematical reasoning. It extends the Interleaved Thinking introduced in GLM-4.5, thinking before every response and tool call, and adds Preserved Thinking, which keeps reasoning blocks across turns in coding-agent sessions, and Turn-level Thinking, which lets you enable or disable reasoning per request.
GLM-4.7 is released under the MIT license. The model is text-in, text-out, with a Preserved Thinking mode for multi-turn agentic tasks. Z.ai's API documentation lists a 200K context length and up to 128K output tokens, plus function calling, structured output, and context caching. Full details are in Z.ai's announcement and the model card.
Dedicated Endpoint
DocsA Dedicated Endpoint is your own deployment of GLM 4.7, on an inference stack that Modal tunes and autoscales. Bring fine-tuned weights if you have them. Compute is billed by the second, and only while it runs.
modal endpoint create --model zai-org/GLM-4.7