Cohere Parse 5 loses the benchmark on points. It wins on cost per page.

Enterprises trying to feed PDFs, slides and scanned documents into AI pipelines keep running into the same wall: the tools either miss the structure — tables, charts, layout — or cost too much to run at scale.Cohere released Parse 5 on Thursday, positioning it on price-to-performance, not raw accuracy — the right cost-capability mix for enterprise scale. Parse 5 is a 2.3-billion-parameter vision language model built to convert PDFs, slides and images into structured Markdown at enterprise scale. Cohere's own published benchmark comparison puts Parse 5 behind three larger, general-purpose frontier models on accuracy. GPT-5.5, Opus 4.8 and Gemini 3.5 Flash all score higher than Parse on the three ParseBench dimensions Cohere reports. Cohere is not claiming the top score. It is claiming the best price for a score close to the top.The company priced the model at $1.50 per 1,000 pages through its API, with Model Vault, Cohere's secure, single-tenant platform for managed inference, available for higher-volume deployment."Document parsing isn't solved because the hard part isn't reading text, it's preserving structure and meaning," Nils Reimers, VP of AI Search at Cohere, told VentureBea…