Persona
Industry
Use cases
LlamaParse is the agentic document processing platform at the frontier of price-performance built for accurate extraction from complex documents. Extend is a YC startup focused on document workflows for end-to-end automation.
Last updated: October 28, 2026
86.61 overall on ParseBench for LlamaParse Agentic Plus, compared with 75.33 for Extend Parse 2.0.
38% of ExtractBench Pro documents extracted perfectly by LlamaExtract Agentic Plus, versus 34% for Extend Operator.
Capabilities
LlamaParse is more accurate than Extend on every parsing category, costs less at every matched level, and needs far less human review.
Features | LlamaParse | Extend AI |
|---|---|---|
| Parsing accuracy | 86.61 on ParseBench with Agentic Plus, leading Extend in all five categories. 93.37 on tables, 90.19 on charts and 86.54 on formatting. | 75.33 on ParseBench with Parse 2.0, including 84.82 on tables, 78.31 on charts and 60.31 on formatting. |
| Extraction accuracy | Gets 38% of ExtractBench Pro documents extracted perfectly with Agentic Plus, at $75 per 1,000 pages. | Gets 34% with Operator, its top tier, at $99 per 1,000 pages on the same leaderboard. |
| Confidence | Confidence scores for 100% of extracted values, with source citations. With Agentic Plus, 66.48% of values were correct and approved automatically, with fewer than 3 errors per 100 approved values. | Its Review Agent rates values in five levels, but even the top level lets through more than 3 errors per 100, so no value can be approved without review. |
| Price for parsing and extraction | Costs $10 per 1,000 pages at the entry tier and $31.25 at the higher tier, with confidence scores included at both. | Costs $12 at the entry tier and $50 at the higher tier, with confidence scoring, longer context and priority processing each charged on top. |
| File formats | Handles 130+ formats and reads Excel and CSV cells directly, with no conversion step. | Handles 35+ file types and parses Excel as a page layout rather than reading the cells. |
| Enterprise deployment | Runs hosted, as a dedicated deployment, in your own cloud, or on-premises. | Runs hosted in the US and EU, with BYOC and hybrid on Enterprise. |
| Connectors | Pulls files from Google Drive, SharePoint, S3 and Confluence without upload code. | Has no built-in connectors, so files arrive through the API or a workflow you build. |
| ParseBench and ExtractBench are LlamaIndex benchmarks with public data and code. | ||
LlamaParse reads complex documents more accurately than Extend. On ParseBench it leads in every category, 86.61 to 75.33 overall, by 26 points on formatting and 12 on charts.
On the most complex extraction cases, the lead holds. On ExtractBench Pro, LlamaParse Agentic Plus gets 38% of documents entirely right. Extend Operator, its top-priced tier, gets 34%.
Every value LlamaParse extracts comes with a confidence score and a citation to its source, so reviewers check the uncertain values and accept the rest.
Set the bar at 97% accuracy, and 66.48% of values clear it without review. Extend's Review Agent has no setting that reaches that bar, so every field goes to a person.
Based on LlamaIndex's evaluation of 370 documents, comparing Agentic Plus with Extend Review Agent. See the methodology.
LlamaParse extracts straight from Excel and CSV cells, including records spread across worksheets. Pull holdings from a fund workbook or line items from a ledger without converting the file.
On ExtractBench, LlamaParse Cost Effective scores 94.21% at $10 per 1,000 pages and Agentic scores 95.65% at $31.25. Extend's tested Extract configuration scores 85.72% at $68, while Max Context scores 88.62% at $100. LlamaParse also offers lower entry-tier pricing: $10 for Cost Effective versus $12 for Extend Light, and $31.25 for Agentic versus $50 for Extend Performance. Light and Performance do not have published ExtractBench scores. Confidence scores are included in LlamaParse's price; on Extend they cost extra. With Cost Optimizer mode, LlamaParse routes simpler pages to lower-cost processing tiers while keeping higher-accuracy processing for difficult ones.
LlamaParse is hosted in North America and the EU, or as a dedicated deployment run by LlamaIndex. Enterprise customers run it in their own AWS, Azure or Google Cloud account, or on-premises.
LlamaParse has a SOC 2 Type II audit, does not train on customer data by default, and its LLM providers keep none of your data. You can delete data on demand or turn caching off.
01
LlamaParse, in every ParseBench category: 86.61 to 75.33 overall. On the most complex extraction cases, LlamaParse Agentic Plus gets 38% of ExtractBench Pro documents entirely right to Extend Operator's 34%.
02
LlamaParse costs $10 per 1,000 PDF pages at the entry tier versus $12 for Extend Light, and $31.25 for Agentic versus $50 for Extend Performance. On ExtractBench, LlamaParse's tested Cost Effective and Agentic configurations also outperform Extend Extract and Max Context, respectively. Confidence scores are included in LlamaParse's price rather than charged as an add-on.
03
Yes. It returns every matching row or record as JSON, including tables that continue across pages, and extracts straight from spreadsheets across tabs.
04
How do confidence scores compare?
LlamaParse scores every extracted value; Extend's scores come from an optional Review Agent with five levels. Set the bar at 97% accuracy and LlamaParse clears 66.48% of values without review. Extend clears none.
05
Can LlamaParse run in a private cloud or on-premises?
Yes. Enterprise customers run it in their own AWS, Azure or Google Cloud account, or on-premises. It is also hosted in North America and the EU, or as a dedicated deployment run by LlamaIndex.
06
Can I migrate from Extend to LlamaParse?
Yes. Recreate your Extend fields in a LlamaParse schema, update the API calls and the code that reads the results, then test on a sample of your own files before switching.
