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Qwen3.6 35B A3B

Qwen (Alibaba)
Free
MLX Score3.9
PriceFreeno paid plan
RunsOn your Mac
DeveloperQwen (Alibaba)
LicenceOpenApache-2.0
CategoryModels
Mac14.0+macOS or later

Qwen3.6 35B A3B has 35 billion parameters in total, of which 3 billion are active for each token, so it writes quickly for its size. Qwen highlights agentic coding and an option to keep reasoning from earlier turns. It reads text, images and video and has a 262,144-token context, extensible to about 1 million.

A 4-bit MLX build is about 20 GB; on mlx.app's estimate it needs a Mac with 32 GB of memory.

Open weights under Apache 2.0. 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

3.9out of 5
Hugging Face downloads and likesahead of 73%
Hugging Face: 4,555,162 downloads (30 days), 3,068 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
32 GB memory
Facts checked
2026-11-01

Sources

huggingface.co/Qwen/Qwen3.6-35B-A3B · Apache-2.0, 35B total / 3B activated, agentic coding, thinking preservation, image-text-to-text · checked 2026-11-01huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit · 4-bit MLX build (about 20 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/qwen3.6-35b-a3b · 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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Qwen3.6 35B A3B is a product of Qwen (Alibaba); MLX isn’t affiliated with it. Something wrong? Write to support@mlx.app.