Cohere has introduced Parse 5, or parse-v5.0, a document parsing model built for large-scale enterprise document workflows. The company said the model is a 2.3 billion-parameter vision-language model based on Cohere Labs’ North-Micro-Vision-Instruct architecture. It comes with an 8,192-token context window and requires about 4.6GB of space.
Parse 5 takes PDF, PowerPoint, or JPEG pages as input and returns Markdown output that can include text, tables, lists, and image descriptions. Cohere said the model does not require a separate OCR preprocessing step. On pricing, the Parse API is set at $1.5 per 1,000 pages.
The product is now generally available through the Cohere Parse API, Microsoft Foundry, AWS SageMaker, and Model Vault, with no waitlist or research approval required. Cohere also reported a ParseBench score of 79.2, saying Parse 5 outperformed Mistral OCR 4, Azure Document Intelligence, and Databricks AI Parse across table handling, content fidelity, and semantic formatting. The update was cited by MarkTechPost.
Cohere has released Parse 5, also listed as parse-v5.0, a document parsing model aimed at large-scale enterprise document processing, according to Techub News.
The company said Parse 5 is a 2.3 billion-parameter vision-language model built on Cohere Labs’ North-Micro-Vision-Instruct architecture. It has an 8,192-token context window and uses about 4.6GB of space.
The model accepts PDF, PPT, or JPEG pages as input and returns Markdown-formatted content. That output can include text, tables, lists, and image descriptions, without a separate OCR preprocessing stage.
For pricing, the Parse API costs $1.5 per 1,000 pages. It is now formally available through the Cohere Parse API, Microsoft Foundry, AWS SageMaker, and Model Vault, with no waitlist or research permission required.
Cohere reported a ParseBench score of 79.2 and said the model leads competing products including Mistral OCR 4, Azure Document Intelligence, and Databricks AI Parse across three categories: tables, content fidelity, and semantic formatting.
The item cited MarkTechPost as the source.
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