SAM 3 vs YOLOv8 Instance Segmentation
Compare SAM 3 and YOLOv8 Instance Segmentation side-by-side.
Compare SAM 3 vs YOLOv8 Instance Segmentation live
Run the same image across every model that supports a task and compare their outputs side-by-side.
These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.
Models in this comparison
SAM 3 vs YOLOv8 Instance Segmentation: Overview
Released on November 19th, 2025, Segment Anything 3 (SAM 3) is a zero-shot image segmentation model that “detects, segments, and tracks objects in images and videos based on concept prompts.” This model was developed by Meta as the third model in the Segment Anything series.
Unlike its previous SAM models (Segment Anything and Segment Anything 2), you can provide SAM 3 with the prompt “shipping container” and it will generate precise segmentation masks for all shipping containers in an image. SAM 3 generates segmentation masks that correspond to the location of the objects found with a text prompt.
YOLOv8 Instance Segmentation is the segmentation variant of the YOLOv8 model developed by Ultralytics, released in January 2023 under the AGPL-3.0 license. It extends the standard YOLOv8 detection head with a mask prediction branch that generates pixel-level segmentation masks for each detected object using a prototype mask approach. This enables real-time instance segmentation within a single forward pass.
YOLOv8 Instance Segmentation shares the same backbone and neck architecture as the base detection model and is available in the same size range. It is deployable through Roboflow Inference and supports fine-tuning on custom COCO-format segmentation datasets. It is suited for applications requiring both object localization and precise mask prediction at real-time speeds.
SAM 3 vs YOLOv8 Instance Segmentation Comparison Table
| Property | SAM 3 | YOLOv8 Instance Segmentation |
|---|---|---|
| Organization | Meta | Ultralytics |
| Category | closed | open |
| Modality | multimodal | vision |
| Release Date | Nov 2025 | Jan 2023 |
| Context Window | — | — |
| Parameters | 2.7M-62.8M | |
| License | Proprietary | AGPL 3.0 |
| Vision Tasks | ||
| Instance Segmentation | Demo (COCO) | |
| Object Detection | Demo | |
| Promptable Concept Segmentation | Demo | |
| Video Object Tracking | ||
| Zero Shot Segmentation | ||
| Model Features | ||
| Foundation Vision | ||
| Real-Time Vision | ||
| Zero-shot Detection | ||