Can I run Qwen 3.5 9B?

Qwen 3.5 9B is Alibaba's early-2026 generalist, and the interesting part is that it handles vision alongside chat and reasoning rather than text alone. At a 4-bit quant it lands around 5.5 GB, which is a tight but workable fit on a 12 GB GPU and sits comfortably in unified memory on an Apple Silicon Mac. If you want to squeeze it onto something smaller you can drop to a 2-bit build at roughly 3.8 GB, though you pay for that in quality. Plan for about 12 GB of system RAM as the practical floor.

In daily use it feels quick. On an RTX 3060 you can expect around 56 tokens per second at 4-bit, and an M-series Max pushes that to roughly 64, both faster than you read. An RTX 4090 runs away at about 157 tok/s if you have one. The 256K context window is the headline number, but be realistic about memory: even at 128K context the full footprint climbs to about 23.2 GB, which spills well past a 12 GB card. Keep working context modest unless you have a 24 GB GPU to spare.

Against its own family the positioning is obvious: the Qwen 3 0.6B and 1.7B models are chat-only featherweights for constrained hardware, while this 9B is the one you reach for when you want reasoning and image understanding in the same model. GLM-4.6V-Flash is the comparable vision-capable alternative at the same size, and the two generally trade blows depending on the task. Qwen 3.5 9B's standout trait is breadth in a single download, and the Apache 2.0 license means you can use it commercially with no strings attached.