Pyyan / Compare / dots.ocr vs Qwen3-VL

dots.ocr vs Qwen3-VL

2 of 5

OCR & Document AI · verified 13 Aug 2026

dots.ocrXiaohongshucurrent
Qwen3-VLAlibabacurrent
3 slots left
Specificationdots.ocrQwen3-VL
SummarySmall, multilingual, layout-aware.A general vision model that happens to lead OCR benchmarks.
OmniDocBench~93~93
Open weightsYesYes
HandlesLayout, 100+ languagesDocuments, charts, video
LicenceMITApache 2.0
KindVision language modelVision language model
CategoryOCR & Document AIOCR & Document AI
OfficialXiaohongshuAlibaba

Highlighted rows are where these differ.

dots.ocr

  • Layout and content in one pass
  • Strong for its size

Best for multilingual layout parsing.

Full spec sheet →

Qwen3-VL

  • Not an OCR model, and beats most of them
  • Sizes from 2B to 235B

Best for one model for vision and documents.

Full spec sheet →