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Pyyan / Compare / Qwen3-VL vs Cohere Parse 5

Qwen3-VL vs Cohere Parse 5

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OCR & Document AI · verified 2 Sept 2026

Qwen3-VLAlibabacurrent
CCohere Parse 5Coherecurrent
3 slots left
SpecificationQwen3-VLCohere Parse 5
SummaryA general vision model that happens to lead OCR benchmarks.Loses the benchmark, wins the invoice. $1.50 per thousand pages.
OmniDocBench~9379.2 on ParseBench
Open weightsYesNo
HandlesDocuments, charts, videoTables as HTML, forms, diagrams, bounding boxes
LicenceApache 2.0Proprietary
KindVision language modelVision language model, 2.3B
CategoryOCR & Document AIOCR & Document AI
OfficialAlibaba ↗—

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 →

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 →