4.7z < 95% Real >

These features allow the model to maintain reasoning chains across multiple conversational turns, which is critical for complex tasks rather than resetting the context after every action.

It supports a 128,000 token context window, enabling it to process large documents or long codebases. These features allow the model to maintain reasoning

It often appears in Red Hat/OpenShift bug trackers (e.g., Bugzilla 1990175 ) to denote a specific software release branch where a fix was implemented. Vibe Coding With GLM 4.7 000 token context window

The model has demonstrated high benchmark scores, including 85.7% on GPQA-Diamond and 42.8% on Humanity's Last Exam (HLE) . These features allow the model to maintain reasoning

A more cost-efficient version, GLM-4.7-Flash , is available for high-speed conversational AI and low-latency needs. Technical Context

Pricing for the GLM-4.7 API is approximately $1.07 per million tokens .