Landing AI vs LlamaParse Pricing and Output Compared

Frequently asked questions

Is Landing AI or LlamaParse cheaper?

For most jobs, LlamaParse is now cheaper. Its Agentic parse is $12.50 per 1,000 pages, against Landing AI DPT-3 Pro at about $15 per 1,000 typical pages as an async job and $30 through a synchronous call. LlamaParse Cost-effective at $3.75 is the cheapest markdown of the two, and Fast at $1.25 is cheaper still but returns spatial text with no markdown. Landing AI's lowest rate is DPT-3 Verity at $5.50 as an async job, which beats LlamaParse Agentic, but Verity is in preview and built for digitally created, Latin-script text documents. 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 a 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 its DPT-3 generation prices each page by complexity, a per-page rate plus output characters. LlamaParse, from LlamaIndex, is built for retrieval pipelines and charges a flat number of credits per page across a four-step ladder from Fast to Agentic Plus, with a free allowance that renews every month. Landing AI leads on grounding; LlamaParse on price per page, 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, enough for 10,000 Fast-parsed pages or 1,000 Agentic-parsed pages. The Free plan has no pay-as-you-go, so when the credits run out, API calls return HTTP 402 until the next cycle; production workloads usually need Starter ($50 a month for 40,000 credits, with pay-as-you-go capped at $500) or Pro ($500 for 400,000 credits, capped at $5,000). Landing AI's Explore plan starts you with 1,000 free credits, about 660 typical pages on DPT-3 Pro as async jobs.

Is LlamaParse Agentic parse better than Landing AI DPT-3?

Neither publishes a head-to-head benchmark that settles it, and both run a model 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 DPT-3 Pro is about $15 per 1,000 typical pages as an async job and $30 synchronous, and adds visual grounding. LlamaParse is cheaper per page on its Agentic tier and gives you a wider ladder to climb; Landing AI gives you grounding. Test both on your own hardest documents, because accuracy depends on your specific layouts.

Why do Landing AI prices vary by page?

DPT-3 bills a per-page rate plus a rate per 1,000 output characters, and every synchronous call bills at the priority tier, twice the standard rate that async jobs get. A typical 4,000-character page costs $15 per 1,000 pages on DPT-3 Pro as an async job and $30 synchronously, and a dense 8,000-character page on Pro priority comes to $50. LlamaParse charges a fixed number of credits per page for each tier, so its bill is easier to predict.

How much does structured extraction cost on each?

LlamaParse extraction combines an extract tier with a parse tier and runs from $7.50 to $118.75 per 1,000 pages (6 to 95 credits). The defaults are $10 for Cost-effective, $31.25 for Agentic and $75 for Agentic Plus, and the Turbo tier is $43.75 all-in with no separate parse step. Landing AI Gen2 Extract is billed by input and output characters, about 1.5 credits for a typical business document on standard, so the cost follows document length rather than a flat page rate.

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.