16 objects in one pass is a pretty big deal for SAM

SAM 3.1 vs. SAM 3: Single computation vs. separate computations for multi-object tracking Meta dropping SAM 3.1 is actually a big deal for real video inference. Think about a team running Zoom call recordings locally, tracking things like who’s speaking, mouth movement, or participant activity without sending everything to a datacenter GPU. That was already possible with SAM 3, but the per-object cost made it heavy. If SAM 3.1 can handle 16 objects in one pass, that kind of workflow suddenly gets a lot practical on smaller hardware.