GLM-4.7 Flash

Z.ai (Zhipu)

Free

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MLX Score2.3

PriceFreeno paid plan

RunsOn your Mac

DeveloperZ.ai (Zhipu)

LicenceOpenMIT

CategoryModels

Mac14.0+macOS or later

GLM-4.7 Flash is a 30B-A3B mixture-of-experts model from Z.ai: about 30 billion parameters with about 3 billion active per token. Z.ai positions it for lightweight deployment and recommends its Preserved Thinking mode for multi-turn agent tasks.

A 4-bit MLX build is about 17 GB; on mlx.app's estimate it needs a Mac with 32 GB of memory.

Open weights under MIT. Run locally, nothing leaves your Mac.

How to Get It

Run it on your MacSee how

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Official downloads only. MLX never re-hosts an app, and never runs a command for you.

MLX Score

2.3out of 5

Hugging Face downloads and likesahead of 33%

Hugging Face: 951,991 downloads (30 days), 1,891 likes · read 2026-11-02

Ranked against the open models listings, from real public data only. How the score works.

Information

Developer: Z.ai (Zhipu)
Category: Open models
Price: Free (Open weights, free to download.)
Your data: Runs on your Mac
Licence: MIT
Mac: macOS 14.0 or later
iPhone and iPad: —
Needs: 32 GB memory
Links: Website · Hugging Face
Facts checked: 2026-11-01

Sources

huggingface.co/zai-org/GLM-4.7-Flash · MIT, 30B-A3B MoE, lightweight deployment, Preserved Thinking mode · checked 2026-11-01huggingface.co/mlx-community/GLM-4.7-Flash-4bit · 4-bit MLX build (about 17 GB) · checked 2026-11-01ml-explore.github.io/mlx/build/html/install.html · macOS 14.0 minimum (MLX needs Apple silicon and macOS 14.0+) · checked 2026-11-01mlx.app/run/glm-4.7-flash · memory: smallest Mac (32 GB) where the 4-bit MLX build fits with room for context, from lib/compare (75% of unified memory usable) · checked 2026-11-01Icon from Hugging Face

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