Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown
Cohere has released Parse (parse-v5.0), a document parsing model aimed at high-volume enterprise ingestion. It is a 2.3B-parameter vision language model with an 8,192-token context window and a ~4.6GB footprint, built on Cohere Labs’ North-Micro-Vision-Instruct architecture. Parse takes a PDF, PPT or JPEG page as a base64-encoded data URI and returns Markdown containing text in reading order, tables rendered as HTML, lists, form key-value pairs, image descriptions and bounding box coordin
Cohere released Parse, a vision language model that converts enterprise documents like PDFs and images into formatted Markdown text with tables, lists, and coordinate information. The model operates without a separate optical character recognition stage, handling text extraction and layout analysis in a single pass across nine languages. Parse is available through multiple deployment options including a metered API priced at $1.50 per 1,000 pages and dedicated cloud instances, with the company positioning it as a cost-effective solution for document-heavy industries like financial services, insurance, and healthcare. The reported performance score of 79.2 on ParseBench measures three of five benchmark dimensions, with the company noting that dedicated capacity becomes more economical than per-page API pricing above approximately 1.67 million pages per month.
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