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Qwen3.6 27B

Qwen (Alibaba)
Free
MLX Score2.9
PriceFreeno paid plan
RunsOn your Mac
DeveloperQwen (Alibaba)
LicenceOpenApache-2.0
CategoryModels
Mac14.0+macOS or later

Qwen3.6 27B is a dense model: all 27 billion parameters work on every token. It's the dense sibling of Qwen3.6 35B A3B, with the same focus on agentic coding and the option to keep earlier reasoning. It reads text, images and video.

A 4-bit MLX build is about 16 GB; on mlx.app's estimate it needs a Mac with 24 GB of memory. Being dense, it writes more slowly than the 35B A3B mixture-of-experts model.

Open weights under Apache 2.0. Run locally, nothing leaves your Mac.

How to Get It

Run it on your MacSee how
WebsiteVisit

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

MLX Score

2.9out of 5
Hugging Face downloads and likesahead of 47%
Hugging Face: 2,263,609 downloads (30 days), 2,342 likes · read 2026-11-02

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

Information

Developer
Qwen (Alibaba)
Category
Open models
Price
Free (Open weights, free to download.)
Your data
Runs on your Mac
Licence
Apache-2.0
Mac
macOS 14.0 or later
iPhone and iPad
—
Needs
24 GB memory
Facts checked
2026-11-01

Sources

huggingface.co/Qwen/Qwen3.6-27B · Apache-2.0, 27B parameters, agentic coding, image-text-to-text · checked 2026-11-01huggingface.co/mlx-community/Qwen3.6-27B-4bit · 4-bit MLX build (about 16 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/qwen3.6-27b · memory: smallest Mac (24 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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Qwen3.6 27B is a product of Qwen (Alibaba); MLX isn’t affiliated with it. Something wrong? Write to support@mlx.app.