# Meta's SAM 3 Pushes Open-Vocabulary Segmentation Toward Production

The model can segment every matching instance from a text prompt, and a SAM 3.1 update aims at faster real-time video tracking. Together they move promptable perception past fixed label sets.

- Published: 2026-06-21T10:59:22.601Z
- Canonical: https://polylog.news/ai/2026-06-21/meta-s-sam-3-pushes-open-vocabulary-segmentation-toward-prod
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/segment-anything-model-3/), [Meta AI (Alta Daily case study)](https://ai.meta.com/blog/alta-daily-fashion-app-segment-anything/)

Meta's Segment Anything Model 3 (SAM 3) replaces the visual-prompt-only workflow of its predecessors with open-vocabulary prompting. Given a short noun phrase or an image exemplar, the model segments every matching instance across an image…

This story is for subscribers. Read it in full at https://polylog.news/ai/2026-06-21/meta-s-sam-3-pushes-open-vocabulary-segmentation-toward-prod (subscription information: https://polylog.news/pricing).