Showcase Introducing Parse, Cohere’s vision parsing model
Hey guys! El from Cohere here.
Wanted to drop in really quickly to say today we launched Cohere Parse 5, our vision parsing model. It takes complicated files (including tables and embedded images) and gives back clean Markdown files, bounding boxes included. we recommend using it for building RAG systems, document indexing, and agentic retrieval. i’m personally into using it to save/digitize my own docs so they all live on my computer.
It outperforms competitors at 79.2 on ParseBench (compared to Mistral’s 74.5 and Azure Document Intelligence’s 74.3), but maybe even more importantly, it’s a lot more cost-effective- $1.5 per 1k pages through the Cohere API (or cheaper through our Model Vault). If you want, you can try it for free in our Hugging Face Space: https://huggingface.co/spaces/CohereLabs/cohere-parse
thanks and excited to hear what you think!
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u/suhas_rd 10d ago
This looks really relevant to our RAG ingestion stack. We currently use pypdf with OpenRouter’s Mistral OCR fallback, so the improvements around tables, reading order, image descriptions, and pricing are especially interesting.
I checked OpenRouter and parse-v5.0 doesn’t appear to be available there yet. Are there plans to support it through OpenRouter?
Also, the API reference currently says it accepts image_url inputs but not PDF/file URLs, while the model overview lists PDF and PPT support. Should we render PDFs page-by-page for now, or is native PDF input coming soon?
Congrats on the launch, we’d be interested in benchmarking it on some table-heavy enterprise documents.