glm-4.7▌

About this listing

glm-4.7 is in the explainx.ai LLM directory. Z.ai · 2 Arena leaderboards. It is labeled open-weights / public artifacts, with publisher field Z.ai and license MIT. Structured FAQs below clarify source, weights, and benchmark data. Canonical URL: /llms/glm-4.7.

FAQ

What is glm-4.7?

glm-4.7 — Z.ai · 2 Arena leaderboards. It appears in the explainx.ai LLM marketplace as a discoverability aid. Reported specs on explainx.ai include type: code; context window (listed): about 202,752 tokens. Links and license data should be verified with the publisher before production use.

Who created or publishes glm-4.7?

On this listing, the organization or lab field is “Z.ai” (sourced from the directory import or editor). That usually matches the publisher; confirm on the official model card or vendor site.

Is glm-4.7 open source or closed source?

The listing is categorized as open-weights or publicly downloadable where the publisher allows it; the recorded license is “MIT”. Closed or gated releases can still appear on Hugging Face—always read the license on the publisher’s page.

Where can I download weights or find model files for glm-4.7?

This listing points to the Hugging Face model repo (https://huggingface.co/zai-org/GLM-4.7), where files and weight artifacts are typically hosted. explainx.ai does not host weights; download and license terms are set by the publisher on that site.

What do Arena leaderboard numbers mean for glm-4.7?

Arena.ai runs crowd‑ranked leaderboards (Elo-style scores) for chat, vision, code, media, and other tracks. This profile includes 2 leaderboard appearances from a snapshot (2026-04-15T06:47:52.332462+00:00). Ranks and votes are **per leaderboard**, not a single global score; combined vote counts across those rows are roughly 17,058 for context. explainx.ai mirrors summary data only; authoritative methodology lives on arena.ai.

Is explainx.ai the publisher of this model?

No. explainx.ai hosts directory listings for discovery. The publisher is the organization or project behind the linked Hugging Face repo, API, or website. Pricing, safety, and terms are always set by that publisher.

How does this page help AI search visibility?

Structured FAQs, FAQPage JSON-LD, breadcrumbs, and answer-first copy follow SEO and GEO (Generative Engine Optimization) practices so search engines and citation-style assistants can summarize this listing accurately.

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