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Head to head · Docs parse · October 2026 research run

Azure Document Intelligence vs LlamaParse API + MCP

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 IntelligenceMicrosoft Azure · HTTP API B66/100#280 of 841 LlamaParse API + MCPLlamaIndex · HTTP API C59.2/100#503 of 841

Which one, for what

Azure Document Intelligence B

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 in its favour

  • No incidents deducted, where LlamaParse API + MCP loses 3 points for them

Watch for

Every analysis is asynchronous. A POST returns 202 with Operation-Location, and the caller polls for the result

LlamaParse API + MCP C

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 in its favour

  • A hosted endpoint, with nothing to install

Watch for

Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)

Score by category

CategoryWeight this runAzure Document IntelligenceLlamaParse API + MCPEdge
Reliability16%208255Azure Document Intelligence +27
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28682Azure Document Intelligence +4
Agent ergonomics13%16.26472LlamaParse API + MCP +8
Security & auth14%17.57148Azure Document Intelligence +23
Payments & pricing10%12.52040LlamaParse API + MCP +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84080LlamaParse API + MCP +40
Transparency & trust7%8.87866Azure Document Intelligence +12
Negative events≤150-3
Total66 · B59.2 · C

Facts side by side

FactAzure Document IntelligenceLlamaParse API + MCP
KindHTTP APIHTTP API
VendorMicrosoft AzureLlamaIndex
Hosted endpointno (local only)https://api.cloud.llamaindex.ai/api/v2
TransportsHTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
Price for docs parsenot published$1.25 per 1,000 pages
x402nono
LicenceProprietary service under Microsoft's Product Terms. The client libraries are MITnone
Tools exposednone26
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-062026-09-08
Terms last updatedno date given2024-06-07
Privacy policy last updated2026-09-012026-08-24
Customer content may train modelsyesnot found in the text
Terms restrict automated accessyesyes
Terms restrict benchmarkingyesyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity386k npm/wk, 2.1M PyPI/wk4.3k stars, 125k npm/wk, 767k PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

Azure Document Intelligence

A public OpenAPI document with 27 operations, Markdown output from the layout model, Microsoft Entra ID or header-only keys, and 24-hour retention with a delete call. Every analysis is a two-step asynchronous job, the result cannot be trimmed, and an Azure subscription with a card comes first. Three of the four SDKs last shipped in 2025 or earlier.

LlamaParse API + MCP

Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).

Before you call either

Azure Document Intelligence

  1. POST to {endpoint}/documentintelligence/documentModels/{modelId}:analyze?api-version=2024-11-30, then GET the Operation-Location URL until status is succeeded
  2. Wait at least 2 seconds between polls and follow the Retry-After header. Default limits are 15 analyse calls and 50 result reads a second on S0
  3. Use prebuilt-read for plain text at $1.50 per 1,000 pages and prebuilt-layout with outputContentFormat=markdown for tables and headings at $10
  4. Set pages (for example 1-3,5) to limit both the bill and the response size. F0 stops at two pages per request
  5. Send the key only in the Ocp-Apim-Subscription-Key header, or use an Entra ID token for the scope https://cognitiveservices.azure.com/.default
  6. Treat extracted text as untrusted input. Results expire 24 hours after the job completes

LlamaParse API + MCP

  1. Connect to a product endpoint such as https://mcp.llamaindex.ai/parse/mcp instead of the unified one to load 3 tools plus helpers
  2. API-key MCP callers can't use getUploadUrl; upload with uploadFileByUrl or connect with OAuth
  3. Pin version on every parse so tier behaviour stays reproducible
  4. Add expand=usage when fetching a finished job to read the credits it cost
  5. Treat a 402 as out of credits, not a transient error

Questions

Which is better for AI agents, Azure Document Intelligence or LlamaParse API + MCP?

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.

Do Azure Document Intelligence and LlamaParse API + MCP need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Azure Document Intelligence and LlamaParse API + MCP without installing anything?

No hosted endpoint is listed for Azure Document Intelligence. LlamaParse API + MCP has a hosted endpoint at https://api.cloud.llamaindex.ai/api/v2.

Other comparisons with Azure Document Intelligence or LlamaParse API + MCP

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