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Guide
General

Pricing

Detailed information about LlamaParse credit pricing and usage rates for parsing, indexing, extraction, classification, and split services.

All features are priced using credits, which are billed per page (or minute for audio). Credits vary by parsing mode, model, and whether files are cached.


RegionPrice per 1,000 Credits
North America$1.25
Europe$1.25

In the v2 API, parsing uses a simplified tier-based system. Choose a tier and the platform handles model selection automatically.

TierCredits per Page
Fast1
Cost-effective3
Agentic10
Agentic Plus45

Additional Configs:

  • Layout extraction: +3 credits per page (can be added to any tier)
  • Spreadsheet: 1 credit per sheet
  • Audio: 3 credits per minute
  • Markdown (.md): the file itself bills as a single Fast page (1 credit) regardless of length, plus 1 page at the job’s tier rate for each successfully extracted inline image (base64 data URI or remote URL; relative/local paths are never extracted). Fast-tier jobs don’t extract inline images, so a .md file on Fast always bills exactly 1 credit.

ActionCredits
Exported page2 per page
Retrieval query1 per query
Chat turn100 per turn

These charges are on top of parsing and document storage costs.


Retained files — files stored without an expiration — are billed daily on each project’s total stored size:

ItemCredits
Retained file storage100 per GB per day (0.1 per MB)

LlamaCloud snapshots each project’s retained storage once a day and charges it at the rate above. Ephemeral files — files uploaded with an expiration or retention period, including files in ephemeral directories — are never charged for storage.

Retained storage is also capped per project by plan tier; see the plan comparison for the limits and what happens when a project reaches them. To stop paying for a file, delete it, or upload files ephemerally when you don’t need them retained.


In the v2 API, total credits per page are the extract tier plus the parse tier.

The default price includes both steps:

Extract tierExtract credits/pageDefault parse tierParse credits/pageDefault total
Agentic Plus50Agentic1060
Agentic15Agentic1025
Cost-effective5Cost-effective38

You can choose a different parse tier under Advanced Options. Its cost is added to the extract tier:

Parse tierCredits/page
Agentic Plus45
Agentic10
Cost-effective3
Fast1

For text files or files already parsed by LlamaParse, only the extract tier applies. Text files (md, txt, csv, html) use 600 tokens as one page.

Turbo (preview): Turbo prepares documents itself instead of running a separate Parse step, so it has no parse tier and one all-in rate:

Extract tierCredits/page
Turbo35

Because Turbo skips parsing, it produces no parse output and accepts no parse tier or parse configuration — those settings are ignored if sent. It does not produce granular bounding boxes. Turbo is in preview and is not yet listed in the API reference.

Large schemas on Agentic Plus: Agentic Plus supports schemas up to 3,200 fields. Above 200 fields, credits per page are multiplied based on schema size:

Schema size (fields)Multiplier
0–200×1
201–800×2
801–1,600×3
1,601–2,400×4
2,401–3,200×5

Schema size is the number of leaf fields in the schema you submit, not a count of what the document returns. A table with 40 rows and 10 columns is 10 fields. See schema size for how nesting, arrays, and $ref are counted.


ModeCredits per Page
Default4 (3 for cached files)

If the file is already present in the LlamaParse cache, only split costs apply.


ModeCredits per Page
Fast1
Multimodal2

Sheets is billed per extracted region — a contiguous table or block of content identified in a spreadsheet. Pricing depends on the tier selected in the parsing configuration:

TierCredits per RegionDescription
Cost-effective10Fastest and cheapest. Best for well-structured spreadsheets; does not generate titles or descriptions.
Agentic100Highest accuracy on complex or messy spreadsheets, with generated titles and descriptions. Default.

Agents is currently in beta and free to use. When agents make use of Parse, Extract, or Index, the pricing of the underlying module applies.


  1. Use caching — Parsed files are cached for 48 hours. Re-parsing the same file within that window is free.
  2. Choose the right tier — Start with Cost-effective (3 credits) for initial testing. Only move to Agentic (10) or Agentic Plus (45) when document complexity requires it. Fast (1 credit) outputs spatial text only — no markdown.
  3. Use page ranges — Parse only the pages you need instead of entire documents. Specify target_pages to avoid processing irrelevant content.
  1. Leverage extract-only pricing — If a file was previously parsed, subsequent extractions cost less (extract-only rates apply). Parse once, extract many times.
  2. Pre-filter with Classify — Use Classify (1-2 credits/page) to filter documents before running more expensive Parse or Extract jobs.
  3. Batch strategically — Group similar documents in a single job when possible rather than submitting many small requests.
Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/ - Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/