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Pyyan / Compare / Qwen3-VL vs DeepSeek-OCR vs Mistral OCR

Qwen3-VL vs DeepSeek-OCR vs Mistral OCR

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OCR & Document AI · verified 13 Aug 2026

×Qwen3-VLAlibabacurrent
×DeepSeek-OCRDeepSeekcurrent
×Mistral OCRMistral AIcurrent
2 slots left
SpecificationQwen3-VLDeepSeek-OCRMistral OCR
SummaryA general vision model that happens to lead OCR benchmarks.Compresses pages into far fewer vision tokens.A hosted API built for document ingestion.
OmniDocBench~93~92~92
Open weightsYesYesNo
HandlesDocuments, charts, videoDense text, tablesTables, images, equations
LicenceApache 2.0MITProprietary
KindVision language modelVision language modelHosted API
CategoryOCR & Document AIOCR & Document AIOCR & Document AI
OfficialAlibaba ↗DeepSeek ↗Mistral AI ↗

Highlighted rows are where these differ.

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 →

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 →

Mistral OCR

  • Priced per page
  • Returns structured markdown

Best for teams who want no infrastructure.

Full spec sheet →