LlamaIndex vs OnDemand

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan: LlamaIndex has one; OnDemand prices on request
Public API: Both have one
Higher Trust score: LlamaIndex — 87 vs 75 for OnDemand
Best fit: LlamaIndex: Developers building retrieval-augmented answers over PDFs, contracts and reports with tables and scans · OnDemand: development teams wanting a managed layer for building AI agents
Platforms: LlamaIndex: Web, Linux · OnDemand: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

LlamaIndexOpen-source data framework for retrieval and agents, with LlamaParse as the paid document parsing, extraction and indexing service

OnDemandA platform-as-a-service for building and deploying AI agents with custom or predefined models and a plugin marketplace.

Side by side

Fact	LlamaIndex	OnDemand
Category	Agent Frameworks & Orchestration	LLM Orchestration Frameworks
Pricing model	Freemium	Contact
Starts at	$50/mo	—
Public API	Yes	Yes
Trust score	87 / 100	75 / 100
Platforms	API, Web, Linux	Web, API
Company	LlamaIndex, Inc.	AIREV
Launched	2023	2024
Last verified	Sep 6, 2026	Sep 1, 2026

What our research says

LlamaIndex

LlamaIndex is the pragmatic choice for a developer who wants retrieval over messy documents working this week: the open-source framework handles ingestion and querying, and LlamaParse does the hard part — tables, scans and layouts — as a paid API with a free tier large enough to prototype on. Teams that only need to chain model calls will find LangChain's ecosystem broader, and anyone parsing millions of pages should model the credit cost before committing, because agentic parsing multiplies the per-page rate.

Pros

Open-source framework with commercial-friendly licensing and connectors for most file and data sources
LlamaParse handles tables, multi-column layouts and scanned pages that plain text extractors mangle
Free tier of 10,000 credits a month and a $50 Starter plan make the cost curve gentle at the start
Enterprise options include private VPC and hybrid deployment, SSO and custom BAAs

Cons

Credit pricing is opaque until you test: basic pages cost one credit, agentic and VLM parsing cost several times more
The free tier allows file upload only, so connectors and external sources need a paid plan
Rapid API and library changes mean tutorials and integrations go stale quickly
Index limits (5 indexes, 50 files each on Free) are tight for anything beyond a demo

OnDemand

OnDemand is a genuine infrastructure play - backed by Core42/G42 and running since mid-2024 - aimed at teams that want to compose AI agents from a model and plugin marketplace instead of building agent infrastructure from scratch. The lack of any public pricing page is the main practical obstacle to evaluating it without talking to sales.

Pros

backed by an established regional AI infrastructure group (Core42/G42)
supports both predefined and custom/bring-your-own models
plugin marketplace for extending agents without custom integration
identifiable founding team and 2023 incorporation

Cons

no public self-serve pricing found anywhere
vendor site blocked repeated automated access during this research
evaluating the platform appears to require direct contact with sales

Which one fits

Choose LlamaIndex if you need

Developers building retrieval-augmented answers over PDFs, contracts and reports with tables and scans
Teams that want extraction of structured fields from documents without training their own layout models
Startups prototyping on the free tier and growing into metered usage rather than a seat licence

Choose OnDemand if you need

development teams wanting a managed layer for building AI agents
companies wanting bring-your-own-model flexibility with hosted infrastructure
teams that want plugin/marketplace extensibility instead of custom integration work