Can I run Ministral 3 3B?

Ministral 3 3B is Mistral's answer to the question "what's the smallest model that still feels like a real assistant?" At 3B parameters it's built for chat and light vision work on hardware you already own. A 4-bit quant lands at about 1.8 GB, and you can squeeze the q2 build down to 1.3 GB if you're truly cramped. With a 4 GB minimum RAM footprint it runs on an entry-level laptop, an old 4 GB GPU, or any Apple Silicon Mac without you thinking twice about memory. This is the model you reach for when a bigger one won't fit.

In daily use the speed is the headline. On an RTX 3060 you'll see roughly 168 tokens per second, an M-series Max pushes around 192, and a 4090 hits about 471 - all far faster than you can read, so replies feel instant. CPU-only on DDR5 still manages about 28 tok/s, usable for batch work. The context window is a generous 256K, but treat that as a ceiling. Filling it gets expensive fast: at 128K of context the total memory load climbs to around 12.6 GB, well past the model's own footprint, so keep working context modest on small machines.

Honestly, at 3B you're trading some depth for that speed and tiny footprint. Mistral 7B generally holds up better on harder reasoning and longer instruction chains, and Mistral Nemo 12B pulls further ahead again if you have the memory to spare. Where Ministral 3 3B wins is the combination of raw throughput and the fact that it also handles vision, which the larger chat-only Mistrals don't. It ships under Apache 2.0, so you can use it commercially with no strings attached. For a fast, free, do-everything small model, it earns its place.