by Z.AI
GLM-4.7 is Zhiyuan's latest flagship model. GLM-4.7 enhances coding capabilities, long-range task planning, and tool collaboration for Agentic Coding scenarios, achieving leading performance among open-source models on several current public benchmarks. It features improved general capabilities, with responses that are more concise and natural, and writing that is more immersive. When executing complex agent tasks and tool usage, it follows instructions more strictly, with further improvements in the frontend aesthetics of Artifacts and Agentic Coding as well as the efficiency of completing long-range tasks.
GLM-4.7 is Zhiyuan's latest flagship model. GLM-4.7 enhances coding capabilities, long-range task planning, and tool collaboration for Agentic Coding scenarios, achieving leading performance among open-source models on several current public benchmarks. It features improved general capabilities, with responses that are more concise and natural, and writing that is more immersive. When executing complex agent tasks and tool usage, it follows instructions more strictly, with further improvements in the frontend aesthetics of Artifacts and Agentic Coding as well as the efficiency of completing long-range tasks.
glm-4.7 has a 200,000 token context window.
On AIHubMix, glm-4.7 costs $0.27 per million input tokens and $1.1 per million output tokens. Cached input reads are billed at $0.05 per million tokens.
glm-4.7 accepts text input.
glm-4.7 supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
glm-4.7 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to glm-4.7 — no other code changes needed.
glm-4.7 is developed by Z.AI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use glm-4.7 via the AIHubMix unified API — one interface for every major LLM.