Model comparison
Compare Cohere Parse 5 and Google Document AI Custom Extractor 3.5 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 |
| Google Document AI Custom Extractor 3.5Google Cloud | Google Cloud | No reviewed rate |
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.
Google Cloud's Gemini-powered Document AI processor for extracting the exact fields and derived values defined in a business schema.
This version is a preview and does not support fine-tuning. Define an evaluation set and human-review rules before trusting extracted fields in legal, financial, or operational workflows.
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 | Google Document AI Custom Extractor 3.5 |
|---|---|---|
| Price per pageA current provider rate and the exact page or annotation unit it covers. | $1.50 / 1K pages | $30 / 1K pages to 1M · $20 / 1K above |
| Accepted documentsThe file and document types the listed endpoint is designed to process. | PDF, PPT, JPEG as Base64 | PDF and image documents with a custom field schema |
| What you get backMarkdown, tables, chunks, fields, descriptions, or another machine-readable result. | Markdown, HTML tables, lists, key-value pairs, image descriptions | Named entities, nested fields, and derived values |
| Layout & confidenceWhether the output preserves boxes, hierarchy, labels, reading order, or confidence information. | Page and visual-element locations; no confidence scores | Field-level document entities; confidence not promised for v3.5 |
| Language coverageProvider-documented language support without inferring unlisted languages. | 9 stable; additional languages zero-shot | Not enumerated for this version |
| Where it runsDirect API, batch service, private environment, marketplace, or regional cloud route. | Cohere API, Model Vault, Microsoft Foundry, SageMaker | Google Cloud Document AI; US/EU processing |
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
Google says Document AI customer documents and predictions are not used to train its models. Online documents are processed in memory without disk persistence; batch inputs have a failsafe retention of up to one day.
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. Google Document AI Custom Extractor 3.5: Google Cloud's Gemini-powered Document AI processor for extracting the exact fields and derived values defined in a business schema.
Consider Cohere Parse 5 when your priority is High-volume RAG document ingestion. Consider Google Document AI Custom Extractor 3.5 when your priority is Contracts, invoices, statements, and business forms. 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.
