Side-by-Side Comparison · 2026

LiteLLM vs LlamaIndex: Full Comparison (2026)

LiteLLM is open-source python library to call 100+ llms with one unified openai-format interface. LlamaIndex is data framework for building llm applications over your data. Use the breakdown below to find the right fit for your needs.

LiteLLM

BerriAI

Free
vs

LlamaIndex

LlamaIndex

Free
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
LiteLLM: FreeLlamaIndex: Free
API Access
LiteLLM: AvailableLlamaIndex: Not available
Platforms
LiteLLM: Python library, Docker (LiteLLM Proxy), Self-hosted serverLlamaIndex: Web
Integrations
LiteLLM: 7 integrationsLlamaIndex: —
Vendor
LiteLLM: BerriAILlamaIndex: LlamaIndex
Category
LiteLLM: FrameworksLlamaIndex: Frameworks
Launch
LiteLLM: 2023LlamaIndex: —

About LiteLLM

LiteLLM is an open-source Python library and proxy server that provides a unified interface to call 100+ large language models using the OpenAI format. It handles provider-specific parameter translation, streaming, token counting, budget management, fallbacks, and load balancing. LiteLLM Proxy runs as a standalone gateway that can be self-hosted, adding observability and cost controls to any LLM backend.

Designed For

  • Unified LLM API abstraction
  • Self-hosted LLM gateway
  • Cost and budget management
  • Multi-provider fallbacks
Full LiteLLM details

About LlamaIndex

LlamaIndex (formerly GPT Index) simplifies connecting custom data sources to LLMs. Provides data connectors, indexing strategies, and query engines for building RAG applications.

Designed For

  • RAG over documents
  • Structured data querying
  • Multi-agent systems
  • Knowledge bases
Full LlamaIndex details

Strengths & Limitations

LiteLLM

Strengths

  • 100+ providers unified
  • OpenAI SDK drop-in replacement
  • Self-hostable proxy
  • Budget limits and alerting
  • Detailed logging/observability
  • MIT license

Limitations

  • Adds complexity for simple use cases
  • Proxy setup requires DevOps
  • Some model-specific features not abstracted

LlamaIndex

Strengths

  • Data-focused
  • Easy RAG setup
  • Many connectors

Limitations

  • Less agent-focused than LangChain
  • Learning curve

Frequently Asked Questions

What is the difference between LiteLLM and LlamaIndex?

LiteLLM is open-source python library to call 100+ llms with one unified openai-format interface, while LlamaIndex is data framework for building llm applications over your data. LiteLLM is designed for ML engineers standardizing LLM access, Platform teams building AI gateways; LlamaIndex is designed for Frameworks. The right fit depends on your specific requirements.

How do the pricing models compare?

LiteLLM is available under a Free model. LlamaIndex is available under a Free model. LiteLLM's entry tier starts at $0. Always verify pricing on each vendor's official website as it may change.

What integrations does each tool support?

LiteLLM integrates with LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK. LlamaIndex integrates with various tools. Check each vendor's documentation for the full and current list.

How do I choose between LiteLLM and LlamaIndex?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.