Pyyan / Compare / Mistral OCR vs dots.ocr vs DeepSeek-OCR

Mistral OCR vs dots.ocr vs DeepSeek-OCR

3 of 5

OCR & Document AI · verified 13 Aug 2026

×Mistral OCRMistral AIcurrent
×dots.ocrXiaohongshucurrent
×DeepSeek-OCRDeepSeekcurrent
2 slots left
SpecificationMistral OCRdots.ocrDeepSeek-OCR
SummaryA hosted API built for document ingestion.Small, multilingual, layout-aware.Compresses pages into far fewer vision tokens.
OmniDocBench~92~93~92
Open weightsNoYesYes
HandlesTables, images, equationsLayout, 100+ languagesDense text, tables
LicenceProprietaryMITMIT
KindHosted APIVision language modelVision language model
CategoryOCR & Document AIOCR & Document AIOCR & Document AI
OfficialMistral AIXiaohongshuDeepSeek

Highlighted rows are where these differ.

Mistral OCR

  • Priced per page
  • Returns structured markdown

Best for teams who want no infrastructure.

Full spec sheet →

dots.ocr

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

Best for multilingual layout parsing.

Full spec sheet →

DeepSeek-OCR

  • Treats the page image as compressed context
  • Notable for cost per page rather than raw accuracy

Best for long documents on a budget.

Full spec sheet →