LlamaCloud service for parsing, extracting and indexing documents for LLM apps, sold as credits at $1.25 per 1,000, from a free tier to $500 per month Pro.
Developers building document-heavy LLM apps, such as RAG over PDFs, who want hosted parsing and extraction with credit-based billing instead of running their own pipeline.
Teams that need a fixed per-page price before committing: the page gives only 'as low as 1 credit' for basic parsing and no exact figure for layout-aware modes. Also not for anyone who needs more than 5 concurrent parse jobs without paying for Pro.
Pros
Cons
Free is $0 per month with 10K credits, Starter is $50 per month with 40K credits, and Pro is $500 per month with 400K credits. Enterprise is custom. Credits are $1.25 per 1,000. The page shows $ without naming a currency code.
Basic parsing costs as low as 1 credit per page. Layout-aware agentic parsing with LLMs or VLMs costs more, but the pricing page does not list exact credit figures per mode, so test on your own documents to estimate spend.
Yes on paid plans. Starter allows pay-as-you-go up to 400K credits, roughly $500 per month per the comparison table. Pro allows up to $5,000 per month. The Free plan requires upgrading to Starter first.
Parse, extract, classify and split jobs are limited to 5 concurrent on Free and Starter, 20 on Pro and 100 on Enterprise. All three self-serve tiers list 100 users. Free and Starter get basic support and Pro gets priority Slack support.
The page lists a limited-time one-time bonus of 800K credits, valued at $1,000, on Pro. It applies only to business email domains and unused bonus credits expire if you downgrade. It may have ended, so confirm before you buy.
Facts sourced from the vendor’s own site, last verified 2026-10-30.
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