LlamaIndex vs 
LiteLLM
LlamaIndex vs LiteLLM compared for 2026 — features, license, ease of use, performance and which one to choose. The data framework for RAG vs One API for 100+ LLM providers.
Updated regularly · curated by OpenSourceAI.tech
LlamaIndex vs LiteLLM at a glance
| Spec | LlamaIndex | LiteLLM |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | Data / RAG framework | LLM gateway / SDK |
| License | MIT | MIT |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python | Python |
| Ease of use | Intermediate | Beginner |
| Best for | developers building data-heavy RAG apps | teams standardizing on one LLM interface |
| GitHub stars | 50.9k | 53.8k |
How LlamaIndex and LiteLLM score
| Criterion | LlamaIndex | LiteLLM |
|---|---|---|
| Popularity | 4.5 | 4.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 5.0 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
LlamaIndex
LlamaIndex is a data framework focused on connecting LLMs to your data, with best-in-class ingestion, indexing and retrieval for RAG applications.
- Best-in-class ingestion and indexing for RAG
- Many data connectors and retrievers
- Focused, RAG-first design
LiteLLM
LiteLLM is a gateway and SDK that exposes 100+ LLM providers behind the OpenAI format, adding routing, fallbacks, budgets and observability.
- OpenAI-format access to 100+ providers
- Routing, fallbacks, budgets and rate limits
- Proxy server for org-wide governance
Key differences
LlamaIndex is data / RAG framework, while LiteLLM is lLM gateway / SDK. LlamaIndex leans more intermediate-friendly, whereas LiteLLM is more suited to beginner users. In short, LlamaIndex fits developers building data-heavy RAG apps, and LiteLLM fits teams standardizing on one LLM interface.
Which should you choose?
Choose LlamaIndex for developers building data-heavy RAG apps. Choose LiteLLM for teams standardizing on one LLM interface.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is LlamaIndex or LiteLLM easier to use?
LiteLLM is generally the easier of the two to get started with, while LlamaIndex rewards more setup with more control.
Are LlamaIndex and LiteLLM free?
LlamaIndex is free and open source (MIT), and LiteLLM is free and open source (MIT). Neither charges for the core software.
Can I run LlamaIndex and LiteLLM locally?
LlamaIndex: cloud-optional · LiteLLM: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
LlamaIndex vs LiteLLM — which should I pick in 2026?
Choose LlamaIndex for developers building data-heavy RAG apps. Choose LiteLLM for teams standardizing on one LLM interface.
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