LlamaIndex Pricing Explained: Plans, Costs and What You Get

LlamaIndex is free and open source; LlamaParse is the paid platform. This guide explains credit pricing, plan limits, and parsing costs in practice.

By Galactic News Editorial · Published 2026-11-10T01:25:53+00:00 · Updated 2026-11-10T01:25:53+00:00

LlamaIndex Pricing Explained: Plans, Costs and What You Get

LlamaIndex itself is free and open source. The money question is about LlamaParse, the commercial platform for document parsing, extraction, and indexing. LlamaParse uses a credit-based model with a free tier. You get 10,000 free credits a month, and extra credits cost $1.50 per 1,000 on pay-as-you-go. This guide explains the plans, what credits buy, and what it costs in practice.

LlamaIndex Pricing at a Glance

LlamaIndex has two sides. The open-source framework is free under the MIT licence. It includes the Python and TypeScript libraries, data connectors, and retrieval tools. You can run it on your own machines at no cost.

LlamaParse is the hosted platform, formerly called LlamaCloud. It adds managed document parsing, structured extraction, classification, and indexing. It is sold on credits. The pricing page lists three tiers: a pay-as-you-go plan, a Pro plan, and a custom Enterprise plan.

Pro also carries a limited-time bonus of 800,000 included credits, listed as a $1,000 value and available once. The bonus expires immediately if you downgrade, and it requires a business email domain. Check the pricing page for current terms before you rely on it.

How LlamaParse Credits Work

Credits are the unit of billing. Parsing a page costs credits, and the cost depends on the parsing mode you choose. Basic parsing costs as little as 1 credit per page. Layout-aware agentic parsing with language or vision models costs more, because it does more work per page.

The platform offers several parse tiers: Cost Effective, Agentic, and Agentic Plus. An Auto Mode routes each page to the smartest tier for that page, and LlamaIndex says it can save up to 80% of credit spend. You can also save parse configs and pin model versions, so a pipeline behaves the same way every run.

Smart result caching means a re-parse costs zero credits. If you parse the same document twice with the same settings, the cached result is reused. Cached data is kept for 48 hours, and you can turn caching off.

Extraction works the same way. Extraction agents pull structured data from documents, with citations and confidence scores. Extraction targets can be set per document, per page, or per table row. Classify and split jobs run alongside parsing, with the same concurrency limits as parse jobs.

What Each Plan Includes

The pay-as-you-go plan includes 10,000 free credits a month, basic support, and one project. It supports up to 100 users. It is the right tier for trying the platform and for small jobs that fit inside the free allowance.

Pro raises the limits across the board. It includes 400,000 credits, 20 concurrent parse jobs, 20 concurrent extract jobs, and 5 projects. It adds priority support through Slack Connect, webhooks and API callbacks, and the full set of parse tiers. The credit price drops to $1.25 per 1,000 credits.

Enterprise is custom. It adds a volume discount on credits, five times higher rate limits, enterprise single sign-on, and a choice of SaaS or hybrid cloud deployment. It also includes a dedicated account manager, custom data processing agreements, and deployment in a private virtual private cloud. LlamaParse is available on the AWS and Microsoft Azure marketplaces.

All plans support more than 130 file types, including PDF, Office documents, spreadsheets, and images. Output formats include Markdown, plain text, JSON, XLSX, HTML tables, and annotated PDF. More than 80 languages are supported.

What LlamaParse Costs in Practice

Credit math is simple once you know your cost per page. At the pay-as-you-go rate of $1.50 per 1,000 credits, basic parsing at 1 credit per page costs $1.50 per 1,000 pages. A 10,000-page monthly job at basic quality fits inside the free tier.

Agentic parsing costs more per page, so the same job can cost many times more. Test new document types with different settings before you configure a pipeline. That is LlamaIndex's own advice, and it is the cheapest way to learn your real cost per page.

A useful planning rule is to estimate in credits, not dollars. Count your monthly pages, multiply by the credits per page for your chosen tier, and compare with the included credits. Pro's 400,000 included credits cover 400,000 basic pages a month. At the Pro rate of $1.25 per 1,000 credits, those credits would cost $500 if bought separately.

Volume changes the picture. Enterprise buyers get a volume discount, but the pricing page does not publish the rate. Talk to sales when your monthly credit use passes the Pro tier.

Open Source Framework vs LlamaParse

The framework and the platform are not the same product. The framework gives you the building blocks for retrieval-augmented generation apps. LlamaParse gives you managed parsing and extraction as a service. Many teams use both: the framework for the app, LlamaParse for the hard documents.

Compliance and Security

LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA. Enterprise plans add custom business associate agreements, single sign-on, and multi-factor authentication. Data is encrypted in transit and at rest. These details matter most for healthcare, finance, and legal teams, and they are part of why Enterprise pricing is custom.

Bottom Line

LlamaIndex pricing is simple once you separate the two products. The framework is free and open source. LlamaParse is a credit-based service with a genuine free tier: 10,000 credits a month at no cost. Pay-as-you-go credits cost $1.50 per 1,000, Pro drops that to $1.25 with 400,000 credits included. Start on the free tier, measure your real cost per page, and only move up when the volume justifies it.