4.7z 📌

The model has demonstrated high benchmark scores, including 85.7% on GPQA-Diamond and 42.8% on Humanity's Last Exam (HLE) .

A more cost-efficient version, GLM-4.7-Flash , is available for high-speed conversational AI and low-latency needs. Technical Context The model has demonstrated high benchmark scores, including

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. 000 token context window

GLM-4.7 is accessible via the BigModel.cn API and integrated into various development tools such as OpenRouter , Vercel, and Cursor . Pricing & Access The model has demonstrated high benchmark scores, including

It supports a 128,000 token context window, enabling it to process large documents or long codebases.