YOLO-NAS vs YOLOv8
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YOLO-NASModels in this comparison
YOLO-NAS vs YOLOv8 Comparison Table
Evals updated September 5, 2026Pricing updated September 8, 2026
| Property | YOLO-NAS | YOLOv8 |
|---|---|---|
| Organization | Deci AI | Ultralytics |
| Category | open | open |
| Modality | vision | vision |
| Release Date | May 2023 | Jan 2023 |
| Context Window | — | — |
| Parameters | 3.2M-68.2M | |
| License | Custom | AGPL 3.0 |
| Model Sizes input resolution per size variant | ||
| Nano | 1280×1280, 640×640 | |
| Small | 640×640 | 1280×1280, 640×640 |
| Medium | 640×640 | 1280×1280, 640×640 |
| Large | 640×640 | 1280×1280, 640×640 |
| XL | 1280×1280, 640×640 | |
| Vision Tasks | ||
| Object Detection | Demo (COCO) | Demo (COCO) |
| Model Features | ||
| Real-Time Vision | ||
YOLO-NAS vs YOLOv8: Overview
YOLO-NAS is an object detection model developed by Deci AI, released in May 2023 as part of the super-gradients open-source training library. The architecture was generated using Deci's proprietary Neural Architecture Search technology, AutoNAC, which searches for network structures that balance accuracy and inference latency on target hardware. This produced three model sizes (small, medium, and large) featuring quantization-friendly blocks that reduce accuracy loss when converting weights to INT8 precision for deployment on edge devices and mobile hardware.
YOLO-NAS achieves competitive accuracy-latency tradeoffs against YOLOv5, YOLOv6, YOLOv7, and YOLOv8 on the Microsoft COCO benchmark at release, and ships with pretraining on Objects365 in addition to COCO. Note that YOLO-NAS uses a custom license: the surrounding super-gradients framework code is Apache-2.0, but the YOLO-NAS model weights are released under a separate non-commercial license that restricts production and commercial use. Teams evaluating YOLO-NAS for commercial applications should review the LICENSE.YOLONAS.md terms directly. Deci AI was acquired by NVIDIA in April 2024, and the super-gradients repository is no longer actively maintained by the original team. Users can still download and use the released weights, but no further updates or new variants are expected.
YOLOv8 is an object detection and multi-task vision model developed by Ultralytics, released in January 2023 under the AGPL-3.0 license. It succeeds YOLOv5 and introduces an anchor-free detection head, a new C2f module for improved gradient flow, and a decoupled head that separates classification and regression tasks. These changes improve both accuracy and training efficiency compared to earlier Ultralytics models.
YOLOv8 supports object detection, instance segmentation, image classification, pose estimation, and oriented bounding box detection within a unified codebase. It is available in five sizes from Nano to Extra Large and exports to ONNX, TensorRT, CoreML, and other formats. YOLOv8 is one of the most widely adopted detection models in production and is directly supported by Roboflow Inference for custom model training and deployment.
