Is Landing AI or LlamaParse cheaper?

It depends on the tier. On a true agentic parse, Landing AI is cheaper: its v2 async parse is $5 per 1,000 pages and real-time is $10, against LlamaParse Agentic at $12.50. But LlamaParse has the cheapest entry point of any agentic platform, Fast parse at $1.25 per 1,000 pages, though Fast returns spatial text with no markdown, so it is not a true agentic parse. Compare in dollars, because Landing AI credits cost $0.01 and LlamaParse credits cost $0.00125, eight times less.

What is the difference between Landing AI and LlamaParse?

Both run an agentic vision-language pass over each page and return clean markdown or structured fields, and both price in credits. Landing AI Agentic Document Extraction, from Andrew Ng's company, emphasizes visual grounding, where every extracted element is tied back to its position on the page for auditability, and it ships DPT-2 and a cheaper v2 model. LlamaParse, from LlamaIndex, is built for retrieval pipelines and offers a four-step tier ladder from Fast to Agentic Plus, with a free tier that renews every month. Landing AI leads on grounding and the low v2 price; LlamaParse on the renewing free tier and its RAG ecosystem.

Does LlamaParse have a free tier that renews?

Yes. LlamaParse gives every account 10,000 free credits every month, and they renew, which is enough for 10,000 Fast-parsed pages or 1,000 Agentic-parsed pages on a standing basis. Landing AI includes 1,000 free credits that expire 90 days after you create the account and do not renew. For a small, steady workload, LlamaParse is effectively free where Landing AI is not, which is the single biggest practical difference between the two.

Is LlamaParse Agentic parse better than Landing AI v2?

Neither publishes a head-to-head benchmark that settles it, and both run an LLM reasoning pass that reads layout, rebuilds tables and returns markdown. LlamaParse Agentic is 10 credits per page, or $12.50 per 1,000 pages, and Agentic Plus at 45 credits ($56.25) is its highest-accuracy tier. Landing AI v2 parse is $5 to $10 and adds visual grounding. Landing AI is cheaper per page on the v2 model; LlamaParse gives you a wider accuracy ladder to climb. Test both on your own hardest documents, because accuracy depends on your specific layouts.

Which integrates better with a RAG pipeline?

LlamaParse is the more natural fit for retrieval-augmented generation because it is built and maintained by LlamaIndex, so its markdown output drops straight into LlamaIndex ingestion, chunking and indexing with no glue code. Landing AI returns markdown and JSON too, but you wire it into your pipeline yourself. If your stack is already LlamaIndex, LlamaParse saves integration work. If you need field-level grounding back to the page for audit, Landing AI is the stronger choice regardless of framework.

Should I use Landing AI, LlamaParse, or a managed product?

Landing AI and LlamaParse are both APIs you wire into your own pipeline, then review and correct the output yourself. A managed product such as DocuOCR bundles classification, extraction, validation, human review and export, billed per page at roughly $14 to $20 per 1,000 pages, so a business team can run it the same day without building an application around a parser. Choose an API if you want to own the pipeline, and a product if you want the workflow finished.

// Verified comparison, July 22, 2026

Landing AI vs LlamaParse: Pricing and Output Compared

Two agentic document parsers, side by side. Landing AI undercuts LlamaParse on true agentic parse price with its v2 model and leads on visual grounding; LlamaParse counters with the cheapest entry tier, a free allowance that renews every month, and native RAG integration. Here is the full breakdown, and how to pick.

Every tier, both tools, in dollars
Free tiers compared honestly
Who each tool is best for
When to use a finished product instead

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Neither vendor publishes a head-to-head accuracy benchmark. Test both, and DocuOCR, on your own documents and compare the fields.

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// The short answer

Landing AI or LlamaParse, in one paragraph

On a true agentic parse, Landing AI is cheaper: its v2 async parse is $5 per 1,000 pages and real-time is $10, against LlamaParse Agentic at $12.50. LlamaParse owns the cheapest entry point, Fast parse at $1.25 per 1,000 pages, but Fast returns spatial text with no markdown, so it is not an agentic parse. The bigger practical difference is the free tier: LlamaParse renews 10,000 credits every month, while Landing AI's 1,000 credits expire 90 days after signup, so for a small steady workload LlamaParse is effectively free where Landing AI is not. LlamaParse is also built into the LlamaIndex ecosystem, so its output drops straight into a RAG pipeline; Landing AI leads on visual grounding and made zero data retention free on the v2 model. Neither publishes a benchmark that settles accuracy, so test both on your own documents. If you would rather skip the pipeline, a managed product like DocuOCR bundles extraction, validation, review and export for roughly $14 to $20 per 1,000 pages.

// Side by side

Landing AI vs LlamaParse, feature by feature

Every figure verified July 22, 2026 from each vendor's own pricing and credit-usage docs.

Dimension	Landing AI ADE	LlamaParse
Cheapest parse entry, per 1,000 pages	v2 async $5 (agentic)	Fast $1.25 (spatial text, no markdown)
True agentic parse, per 1,000 pages	v2 async $5, real-time $10 (DPT-2 $30)	Agentic $12.50, Agentic Plus $56.25
Structured extraction	By character (in / out chars)	Flat 6 to 60 credits ($7.50 to $75), a real quote
Credit price	$0.01 per credit ($1 = 100)	$0.00125 per credit ($1.25 = 1,000)
Free tier	1,000 credits, expire in 90 days	10,000 credits every month, renews
Zero data retention	Free on v2 (was +$10/1k on DPT-2)	On enterprise plans
Model tiers	DPT-2, DPT-2 mini, v2	Fast, Cost-effective, Agentic, Agentic Plus
Ecosystem	Standalone API, visual grounding	Native LlamaIndex / RAG integration
Signature strength	Visual grounding and auditability	Renewing free tier and a wide tier ladder
Output	Markdown, JSON, grounded elements	Markdown, JSON, per-tier reasoning

See the full per-tier tables on Landing AI pricing and LlamaParse pricing.

// Who each is for

Pick by what you are optimizing for

Choose Landing AI when

You want the lowest true agentic parse price and can use the v2 async job.
Visual grounding and field-level auditability matter to your workflow.
You need zero data retention without a per-page surcharge.
Your pipeline is not tied to a specific RAG framework.

Choose LlamaParse when

You are building on LlamaIndex and want parsing wired into ingestion.
A monthly renewing free tier covers a small, steady workload for free.
You want a tier ladder from cheap text to highest-accuracy Agentic Plus.
Fast parse at $1.25 per 1,000 pages is enough for clean, simple pages.

Choose a product like DocuOCR when

You want the workflow built, not an API to wire up.
A business or ops team needs to run it the same day.
You need classification, validation, human review and export included.
One flat per-page price beats juggling credit tiers.

Frequently asked questions

Is Landing AI or LlamaParse cheaper?: It depends on the tier. On a true agentic parse, Landing AI is cheaper: its v2 async parse is $5 per 1,000 pages and real-time is $10, against LlamaParse Agentic at $12.50. But LlamaParse has the cheapest entry point of any agentic platform, Fast parse at $1.25 per 1,000 pages, though Fast returns spatial text with no markdown, so it is not a true agentic parse. Compare in dollars, because Landing AI credits cost $0.01 and LlamaParse credits cost $0.00125, eight times less.
What is the difference between Landing AI and LlamaParse?: Both run an agentic vision-language pass over each page and return clean markdown or structured fields, and both price in credits. Landing AI Agentic Document Extraction, from Andrew Ng's company, emphasizes visual grounding, where every extracted element is tied back to its position on the page for auditability, and it ships DPT-2 and a cheaper v2 model. LlamaParse, from LlamaIndex, is built for retrieval pipelines and offers a four-step tier ladder from Fast to Agentic Plus, with a free tier that renews every month. Landing AI leads on grounding and the low v2 price; LlamaParse on the renewing free tier and its RAG ecosystem.
Does LlamaParse have a free tier that renews?: Yes. LlamaParse gives every account 10,000 free credits every month, and they renew, which is enough for 10,000 Fast-parsed pages or 1,000 Agentic-parsed pages on a standing basis. Landing AI includes 1,000 free credits that expire 90 days after you create the account and do not renew. For a small, steady workload, LlamaParse is effectively free where Landing AI is not, which is the single biggest practical difference between the two.
Is LlamaParse Agentic parse better than Landing AI v2?: Neither publishes a head-to-head benchmark that settles it, and both run an LLM reasoning pass that reads layout, rebuilds tables and returns markdown. LlamaParse Agentic is 10 credits per page, or $12.50 per 1,000 pages, and Agentic Plus at 45 credits ($56.25) is its highest-accuracy tier. Landing AI v2 parse is $5 to $10 and adds visual grounding. Landing AI is cheaper per page on the v2 model; LlamaParse gives you a wider accuracy ladder to climb. Test both on your own hardest documents, because accuracy depends on your specific layouts.
Which integrates better with a RAG pipeline?: LlamaParse is the more natural fit for retrieval-augmented generation because it is built and maintained by LlamaIndex, so its markdown output drops straight into LlamaIndex ingestion, chunking and indexing with no glue code. Landing AI returns markdown and JSON too, but you wire it into your pipeline yourself. If your stack is already LlamaIndex, LlamaParse saves integration work. If you need field-level grounding back to the page for audit, Landing AI is the stronger choice regardless of framework.
Should I use Landing AI, LlamaParse, or a managed product?: Landing AI and LlamaParse are both APIs you wire into your own pipeline, then review and correct the output yourself. A managed product such as DocuOCR bundles classification, extraction, validation, human review and export, billed per page at roughly $14 to $20 per 1,000 pages, so a business team can run it the same day without building an application around a parser. Choose an API if you want to own the pipeline, and a product if you want the workflow finished.

Compare all three on your own documents

Price and marketing claims only get you so far. Upload a document to DocuOCR, see the extracted fields, and judge the output before you build a pipeline around any parser.

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Related pricing references

Landing AI pricing

Every operation in dollars per 1,000 pages

LlamaParse pricing

Every parse tier, from Fast to Agentic Plus

Landing AI vs Reducto

The other Landing AI head-to-head

Reducto vs LlamaParse

The third agentic comparison

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LlamaParse, Reducto and Landing AI, normalized

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