# Azure Document Intelligence vs LlamaParse API + MCP (slim)

> Azure Document Intelligence scores 66 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on agent ergonomics, payments & pricing and maintenance & community. Both do docs parse. Category scores…

- Full: https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.md (~2,650 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse.json · canonical https://www.anchorterminal.com/compare/azure-document-intelligence-vs-llamaparse
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Azure Document Intelligence scores 66 (B) on agent readiness against LlamaParse API + MCP's 59.2 (C), and leads in 4 of 7 scored categories. LlamaParse API + MCP leads on agent ergonomics, payments & pricing and maintenance & community. Both do docs parse.

- Azure Document Intelligence: B 66, rank #280 of 842 · https://www.anchorterminal.com/tools/azure-document-intelligence.min.md
- LlamaParse API + MCP: C 59.2, rank #503 of 842 · https://www.anchorterminal.com/tools/llamaparse.min.md
- Azure Document Intelligence, good for Teams already on Azure that want OCR, layout to Markdown and prebuilt invoice, receipt, identity and tax models with Entra ID and regional processing. Ahead on Reliability, 82 against 55; Security & auth, 71 against 48; Transparency & trust, 78 against 66. Also No incidents deducted, where LlamaParse API + MCP loses 3 points for them.
- LlamaParse API + MCP, good for RAG ingestion where cost per page matters and a tier can be picked per document, and for agents that want a small MCP surface. Ahead on Agent ergonomics, 72 against 64; Payments & pricing, 40 against 20; Maintenance & community, 80 against 40. Also A hosted endpoint, with nothing to install.

| Category | Azure Document Intelligence | LlamaParse API + MCP |
| --- | --- | --- |
| Reliability (16%) | 82 | 55 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 86 | 82 |
| Agent ergonomics (13%) | 64 | 72 |
| Security & auth (14%) | 71 | 48 |
| Payments & pricing (10%) | 20 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 40 | 80 |
| Transparency & trust (7%) | 78 | 66 |

| Fact (where they differ) | Azure Document Intelligence | LlamaParse API + MCP |
| --- | --- | --- |
| Vendor | Microsoft Azure | LlamaIndex |
| Hosted endpoint | no (local only) | `https://api.cloud.llamaindex.ai/api/v2` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Price for docs parse | not published | $1.25 per 1,000 pages |
| Licence | Proprietary service under Microsoft's Product Terms. The client libraries are MIT | none |
| Tools exposed | none | 26 |
| llms.txt | no | yes |
| Last release | 2026-10-06 | 2026-09-08 |
| Terms last updated | no date given | 2024-06-07 |
| Privacy policy last updated | 2026-09-01 | 2026-08-24 |
| Customer content may train models | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 386k npm/wk, 2.1M PyPI/wk | 4.3k stars, 125k npm/wk, 767k PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |