Model comparison
Cohere Parse 5 vs Mistral OCR 4.1
Compare Cohere Parse 5 and Mistral OCR 4.1 using the same provider-sourced document ai rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Model comparison
Compare Cohere Parse 5 and Mistral OCR 4.1 using the same provider-sourced document ai rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Counts pages, not files. A 10-page PDF counts as 10 pages. The estimate uses the document-processing rate available for each model.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Cohere Parse 5Cohere | Cohere | $0.015 |
| Mistral OCR 4.1Mistral AI | Mistral AI | $0.04 |
Quick take
Cohere's compact document parser for turning enterprise PDFs, presentations, and scans into retrieval-ready Markdown and layout metadata.
Parse returns Markdown rather than arbitrary JSON and does not provide confidence scores, header/footer labels, or font hierarchy. Confirm that output contract before replacing a specialized extractor.
Mistral's current Document AI OCR model for preserving reading order, tables, structure, locations, and confidence across multilingual files.
Do not assume the regional chat endpoints support every OCR feature. Verify the exact endpoint, retention mode, page limits, and structured-annotation cost for production.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Document AI | Cohere Parse 5 | Mistral OCR 4.1 |
|---|---|---|
| Price per pageA current provider rate and the exact page or annotation unit it covers. | $1.50 / 1K pages | $4 / 1K OCR pages · $5 / 1K annotated |
| Accepted documentsThe file and document types the listed endpoint is designed to process. | PDF, PPT, JPEG as Base64 | PDF, DOCX, PPTX, PNG, JPEG, AVIF and more |
| What you get backMarkdown, tables, chunks, fields, descriptions, or another machine-readable result. | Markdown, HTML tables, lists, key-value pairs, image descriptions | Markdown, separate Markdown/HTML tables, structured annotations |
| Layout & confidenceWhether the output preserves boxes, hierarchy, labels, reading order, or confidence information. | Page and visual-element locations; no confidence scores | Paragraph boxes, block labels, page/block/word confidence |
| Language coverageProvider-documented language support without inferring unlisted languages. | 9 stable; additional languages zero-shot | 40+ documented |
| Where it runsDirect API, batch service, private environment, marketplace, or regional cloud route. | Cohere API, Model Vault, Microsoft Foundry, SageMaker | Mistral OCR API and batch; verify regional endpoint support |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Cohere enterprise customers can opt out of training; SaaS prompts and generations are generally deleted after 30 days. Private and third-party deployments do not expose customer inputs or outputs to Cohere.
Provider and API links
Mistral's commercial terms exclude model training by default except opt-in and preview exceptions. Standard API input and output retention is generally 30 rolling days unless zero data retention is enabled.
Provider and API links
Frequently asked questions
Cohere Parse 5: Cohere's compact document parser for turning enterprise PDFs, presentations, and scans into retrieval-ready Markdown and layout metadata. Mistral OCR 4.1: Mistral's current Document AI OCR model for preserving reading order, tables, structure, locations, and confidence across multilingual files.
Consider Cohere Parse 5 when your priority is High-volume RAG document ingestion. Consider Mistral OCR 4.1 when your priority is Layout-aware OCR for RAG. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Document AI category. It does not claim a universal winner or combine incompatible third-party benchmark scores.