Model comparison · YOLO12 vs YOLO11

YOLO12 vs YOLO11

A size-tier-by-size-tier comparison of YOLO12 and Ultralytics YOLO11: published COCO accuracy, parameter counts, licensing and which one to reach for. Every figure is the model authors' own, linked to its source.

CompareYOLO12
AgainstYOLO11

mAP comparison

YOLO12YOLO11
37.042.347.552.858.0mAPNanoSmallMediumLargeExtra largeModel size tierYOLO12n: 40.6 mAP, 2.6M paramsYOLO12s: 48.0 mAP, 9.3M paramsYOLO12m: 52.5 mAP, 20.2M paramsYOLO12l: 53.7 mAP, 26.4M paramsYOLO12x: 55.2 mAP, 59.1M paramsYOLO11n: 39.5 mAP, 2.6M paramsYOLO11s: 47.0 mAP, 9.4M paramsYOLO11m: 51.5 mAP, 20.1M paramsYOLO11l: 53.4 mAP, 25.3M paramsYOLO11x: 54.7 mAP, 56.9M params

YOLO12

  • Nano 40.6
  • Small 48.0
  • Medium 52.5
  • Large 53.7
  • Extra large 55.2

YOLO11

  • Nano 39.5
  • Small 47.0
  • Medium 51.5
  • Large 53.4
  • Extra large 54.7
COCO mAP at 640px, as published by each model’s authors. The y axis spans 37.0 to 58.0 rather than starting at zero, so small differences stay visible. Points are the published checkpoints; the joining lines are for reading order only.

Accuracy and size, tier by tier

Each row pairs the equivalent rung of both size ladders, so the numbers sit side by side at comparable capacity. Every figure is the model authors’ own.

  • COCO mAP50-95 @ 640px
  • mAP: higher is better
  • Params (M): lower is better
YOLO12 and YOLO11 compared at each size tier: published COCO mAP50-95 at 640px and parameter counts in millions.
TierYOLO12YOLO11Δ mAP
ModelmAPParamsModelmAPParams
NanoYOLO12n40.62.6MYOLO11n39.52.6M+1.1
SmallYOLO12s48.09.3MYOLO11s47.09.4M+1.0
MediumYOLO12m52.520.2MYOLO11m51.520.1M+1.0
LargeYOLO12l53.726.4MYOLO11l53.425.3M+0.3
Extra largeYOLO12x55.259.1MYOLO11x54.756.9M+0.5

Δ mAP is YOLO12 minus YOLO11: positive means YOLO12 is ahead at that tier. Sources: YOLO12 docs · YOLO12 paper · YOLO11 docs

Additional information

  • YOLO12 posts the higher published COCO mAP at all 5 matched size tiers, averaging 0.78 mAP ahead of YOLO11. The gap is widest at the nano tier, where YOLO12 leads by 1.1 mAP. At the top of each range, YOLO12 reaches 55.2 mAP against 54.7.

  • Same size at every tier. YOLO12 and YOLO11 ship near-identical parameter counts rung for rung, never more than 4% apart, so neither buys accuracy with weights the other does not spend. The choice here is ecosystem and licence, not size.

    Parameter count is not latency. It is a good proxy for download size and memory, but throughput depends on your hardware, batch size and export format, so measure on your own target.

YOLO12

The attention-centric generation, between YOLO11 and YOLO26.

Released
2025 · Tian, Ye & Doermann (UB / UCAS)
License
AGPL-3.0
Framework
Ultralytics (PyTorch)
Tasks
Detect, Segment, Classify, Pose, OBB

An attention-centric YOLO: area attention and residual ELAN blocks replace some of the pure-convolution stack, buying about a point of mAP over YOLO11 at a similar size.

Download YOLO12 weights →

YOLO11

The best-supported all-round default across five tasks.

Released
2024 · Ultralytics
License
AGPL-3.0
Framework
Ultralytics (PyTorch)
Tasks
Detect, Segment, Classify, Pose, OBB

An anchor-free, single-pass detector that predicts objects in one shot across five vision tasks, giving a strong balance of speed and accuracy for everyday production use.

Download YOLO11 weights →

YOLO12 and YOLO11 against the whole lineage

YOLO12 and YOLO11 against every other detector here, on one shared scale. The rest are dimmed; hover any row to bring it back.

Every YOLO detector in this section, with release year, publisher, published COCO mAP50-95 range at 640px, parameter-count range and licence.
ModelReleasedmAP rangeParams rangeLicence
YOLO26202640.9 to 57.52.4M to 55.7MAGPL-3.0
YOLO12202540.6 to 55.22.6M to 59.1MAGPL-3.0
YOLO11202439.5 to 54.72.6M to 56.9MAGPL-3.0
YOLOv10202438.5 to 54.42.3M to 29.5MAGPL-3.0
YOLOv9202438.3 to 55.62.0M to 58.1MGPL-3.0
YOLOv8202337.3 to 53.93.2M to 68.2MAGPL-3.0
YOLOv5 (v5u)202034.3 to 53.22.6M to 97.2MAGPL-3.0

Every matchup

YOLO26 vs YOLO12YOLO26 vs YOLO11YOLO26 vs YOLOv10YOLO26 vs YOLOv9YOLO26 vs YOLOv8YOLO26 vs YOLOv5 (v5u)YOLO12 vs YOLO11YOLO12 vs YOLOv10YOLO12 vs YOLOv9YOLO12 vs YOLOv8YOLO12 vs YOLOv5 (v5u)YOLO11 vs YOLOv10YOLO11 vs YOLOv9YOLO11 vs YOLOv8YOLO11 vs YOLOv5 (v5u)YOLOv10 vs YOLOv9YOLOv10 vs YOLOv8YOLOv10 vs YOLOv5 (v5u)YOLOv9 vs YOLOv8YOLOv9 vs YOLOv5 (v5u)YOLOv8 vs YOLOv5 (v5u)

Looking for the weights themselves? Download any of these checkpoints from the model-weights hub, or see how the trackers behind them compare in the YOLO tracker benchmarks.