Pyyan / Compare / Cohere Parse 5 vs GLM-OCR vs dots.ocr vs Qwen3-VL vs DeepSeek-OCR

Cohere Parse 5 vs GLM-OCR vs dots.ocr vs Qwen3-VL vs DeepSeek-OCR

5 of 5

OCR & Document AI · verified 2 Sept 2026

×CCohere Parse 5Coherecurrent
×GLM-OCRZhipu AIcurrent
×dots.ocrXiaohongshucurrent
×Qwen3-VLAlibabacurrent
×DeepSeek-OCRDeepSeekcurrent
SpecificationCohere Parse 5GLM-OCRdots.ocrQwen3-VLDeepSeek-OCR
SummaryLoses the benchmark, wins the invoice. $1.50 per thousand pages.Currently the top scorer on document parsing.Small, multilingual, layout-aware.A general vision model that happens to lead OCR benchmarks.Compresses pages into far fewer vision tokens.
OmniDocBench79.2 on ParseBench94.6~93~93~92
Open weightsNoYesYesYesYes
HandlesTables as HTML, forms, diagrams, bounding boxesTables, formulas, handwritingLayout, 100+ languagesDocuments, charts, videoDense text, tables
LicenceProprietaryOpen weightsMITApache 2.0MIT
KindVision language model, 2.3BVision language modelVision language modelVision language modelVision language model
CategoryOCR & Document AIOCR & Document AIOCR & Document AIOCR & Document AIOCR & Document AI
OfficialZhipu AIXiaohongshuAlibabaDeepSeek

Highlighted rows are where these differ.

Cohere Parse 5

  • 2.3B vision language model, about 4.6GB, that turns a page into clean Markdown
  • Scores 79.2 on Cohere's ParseBench, behind GPT-5.5 at 84.4 and Opus 4.8 at 84.3
  • $1.50 per thousand pages at 4.5 pages a second, which is where it actually wins

Best for documents at volume.

Full spec sheet →

GLM-OCR

  • Ahead of Gemini 3 Pro and GPT-5.2 on the same benchmark
  • 94.0 on OCRBench

Best for complex documents end to end.

Full spec sheet →

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 →

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 →