compare/yolo26-vs-yolo11/

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compare/yolo26-vs-yolo11/

Compare Ultralytics YOLO26 and YOLO11 performance, architecture, CPU inference, NMS-free design, and best-use cases to pick the right model for edge and production.

https://docs.ultralytics.com/compare/yolo26-vs-yolo11/

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👋 Hello, thank you for your interest in Ultralytics 🚀! This is an automated response to help get things moving, and an Ultralytics engineer will also assist soon 😊 We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If your discussion is about comparing models such as YOLO26 and YOLO11 ❓, please share as much context as possible about your target hardware, deployment environment, latency requirements, and whether your priority is edge efficiency, CPU inference, or production accuracy so the team can guide you more effectively.

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Upgrade

Upgrade to the latest ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8 to verify your issue is not already resolved in the latest version:

pip install -U ultralytics

Environments

YOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.