Pyyan / Compare / DINO-X vs YOLO26 vs YOLOv12

DINO-X vs YOLO26 vs YOLOv12

3 of 5

Object Detection · verified 13 Aug 2026

×IDINO-XIDEA Researchcurrent
×YOLO26Ultralyticscurrent
×YOLOv12Ultralyticscurrent
2 slots left
SpecificationDINO-XYOLO26YOLOv12
SummaryOpen-world detection, segmentation and pose in one model.The latest in the line most people mean by object detection.Attention-centric YOLO, still widely deployed.
COCO mAP~56~55~55
SpeedModerateVery highVery high
LicenceProprietaryAGPL-3.0AGPL-3.0
FamilyOpen vocabularySingle stageSingle stage
Open vocabularyYesNoNo
Released202420262025
CategoryObject DetectionObject DetectionObject Detection
OfficialIDEA ResearchUltralyticsUltralytics

Highlighted rows are where these differ.

DINO-X

  • Handles long-tail objects without class lists
  • API-first

Best for open-world perception.

Full spec sheet →

YOLO26

  • Strong on Jetson, Snapdragon and ARM CPUs
  • AGPL-3.0: open-source your derivative work or buy a licence

Best for edge and mobile deployment.

Full spec sheet →

YOLOv12

  • Attention added to the classic single-stage design
  • Same licensing consideration as YOLO26

Best for teams already on the YOLO toolchain.

Full spec sheet →