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Mistral OCR vs Qwen3-VL vs DeepSeek-OCR

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OCR & Document AI · verified 13 Aug 2026

×Mistral OCRMistral AIcurrent
×Qwen3-VLAlibabacurrent
×DeepSeek-OCRDeepSeekcurrent
2 slots left
SpecificationMistral OCRQwen3-VLDeepSeek-OCR
SummaryA hosted API built for document ingestion.A general vision model that happens to lead OCR benchmarks.Compresses pages into far fewer vision tokens.
OmniDocBench~92~93~92
Open weightsNoYesYes
HandlesTables, images, equationsDocuments, charts, videoDense text, tables
LicenceProprietaryApache 2.0MIT
KindHosted APIVision language modelVision language model
CategoryOCR & Document AIOCR & Document AIOCR & Document AI
OfficialMistral AI ↗Alibaba ↗DeepSeek ↗

Highlighted rows are where these differ.

Mistral OCR

  • Priced per page
  • Returns structured markdown

Best for teams who want no infrastructure.

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 →

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 →