Can I run Qwen 3.5 4B?

Qwen 3.5 4B is a small dense model built for people who want a capable local assistant that barely touches their hardware. At a 4-bit quant it lands around 2.4 GB, so it slots into almost any modern GPU with room to spare, runs comfortably in unified memory on an Apple Silicon Mac, and the 6 GB minimum RAM means even an older laptop can host it. It also handles vision, not just chat, which is unusual at this size. Apache 2.0 license means you can use it commercially and in production with no strings attached.

In daily use it is quick. On an RTX 4090 you'll see around 353 tokens per second, and a mid-range RTX 3060 still pushes roughly 126 tok/s, both far faster than you can read. An M-series Max sits near 144 tok/s, and even pure CPU on DDR5 manages about 21 tok/s if you're patient. The 256K context window is generous, but treat it as headroom, not a default. Memory climbs steeply as you fill it: at 128K context the total footprint reaches about 14.7 GB, which will overflow most consumer cards, so keep working context modest unless you have memory to burn.

Against its own family it sits well above the tiny Qwen 3 1.7B and 0.6B, which are better suited to phones and embedded use than to being your main assistant. Compared to Phi-4 Mini 3.8B, Qwen 3.5 4B generally feels broader thanks to its vision support and longer context, while Phi-4 Mini tends to hold its own on tightly scoped reasoning. The standout trait here is the value of that footprint: a multimodal 4B that runs fast on modest hardware under a fully permissive license is a rare combination, and it makes this an easy default for a lightweight local setup.