Pyyan / Compare / YOLO26 vs YOLOv12 vs RTMDet vs Grounding DINO
YOLO26 vs YOLOv12 vs RTMDet vs Grounding DINO
4 of 5Object Detection · verified 13 Aug 2026
| Specification | YOLO26 | YOLOv12 | RTMDet | Grounding DINO |
|---|---|---|---|---|
| Summary | The latest in the line most people mean by object detection. | Attention-centric YOLO, still widely deployed. | Pure throughput, and an MIT licence. | Detects whatever you describe in words. |
| COCO mAP | ~55 | ~55 | ~52 | ~52 zero-shot |
| Speed | Very high | Very high | 300+ | Moderate |
| Licence | AGPL-3.0 | AGPL-3.0 | MIT | Apache 2.0 |
| Family | Single stage | Single stage | Single stage | Open vocabulary |
| Open vocabulary | No | No | No | Yes |
| Released | 2026 | 2025 | 2022 | 2023 |
| Category | Object Detection | Object Detection | Object Detection | Object Detection |
| Official | Ultralytics ↗ | Ultralytics ↗ | OpenMMLab ↗ | IDEA Research ↗ |
Highlighted rows are where these differ.
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.
YOLOv12
- Attention added to the classic single-stage design
- Same licensing consideration as YOLO26
Best for teams already on the YOLO toolchain.
RTMDet
- Wins on raw speed where accuracy is sufficient
- MIT, so no derivative-work obligation
Best for high frame-rate video.
Grounding DINO
- Text prompt in, boxes out
- Fine-tuning still beats it on specialised objects
Best for classes you have no data for.