Langbase vs LlamaIndex

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

Cheaper paid plan: LlamaIndex — $50/mo vs $100/mo for Langbase
Free plan: Both have one
Public API: Both have one
Higher Trust score: Langbase — 92 vs 87 for LlamaIndex
Best fit: Langbase: developers who want model routing, RAG, and workflows in one platform · LlamaIndex: Developers building retrieval-augmented answers over PDFs, contracts and reports with tables and scans

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

LangbaseA serverless platform for building, deploying, and monitoring AI agents across 600-plus LLMs.

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

Side by side

Fact	Langbase	LlamaIndex
Category	LLM Orchestration Frameworks	Agent Frameworks & Orchestration
Pricing model	Freemium	Freemium
Starts at	$100/mo	$50/mo
Public API	Yes	Yes
Trust score	92 / 100	87 / 100
Platforms	Web, API	API, Web, Linux
Company	Langbase, Inc.	LlamaIndex, Inc.
Launched	—	2023
Last verified	Sep 1, 2026	Sep 6, 2026

What our research says

Langbase

Langbase bundles model routing, RAG memory, and multi-step workflows into one serverless platform, positioning itself as infrastructure teams don't have to assemble themselves from separate vector-database, routing, and orchestration tools. The free tier is real but modest (500 credits, no private pipes), so serious usage quickly pushes into the $100+/month range.

Pros

routes across 600+ LLMs through one unified API
built-in RAG memory with vector storage, no separate database needed
workflow layer adds retries, durability, and tracing to multi-step agents
clear company identity: Langbase, Inc., San Francisco

Cons

free tier has zero private pipes, limiting real project use
jump from Free to Individual is a full $100/month with no middle tier
full evaluation and observability tooling is described at a high level without deep public detail

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

Which one fits

Choose Langbase if you need

developers who want model routing, RAG, and workflows in one platform
teams wanting to avoid running their own vector database for agent memory
companies needing SSO/compliance for agent infrastructure at the Enterprise tier

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