Open-Source AI · LLM / RAG framework

LangChain vs LiteLLM

LangChain vs LiteLLM compared for 2026 — features, license, ease of use, performance and which one to choose. Compose chains, tools and agents vs One API for 100+ LLM providers.

Updated regularly · curated by OpenSourceAI.tech

Choose LangChain for developers building tool-using LLM apps. Choose LiteLLM for teams standardizing on one LLM interface.

LangChain vs LiteLLM at a glance

SpecLangChainLiteLLM
CategoryLLM / RAG frameworkLLM / RAG framework
TypeLLM app frameworkLLM gateway / SDK
LicenseMITMIT
Runs locallyCloud-optionalCloud-optional
Primary languagePython / JSPython
Ease of useIntermediateBeginner
Best fordevelopers building tool-using LLM appsteams standardizing on one LLM interface
GitHub stars141.9k53.8k

How LangChain and LiteLLM score

🤝 Too close to call — LangChain and LiteLLM land within a hair (4.4 vs 4.6 / 5). Pick on fit, not on score.
CriterionLangChainLiteLLM
Popularity5.04.5
Maintenance5.05.0
Ease of use3.55.0
Privacy3.53.5
License freedom5.05.0

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

LangChain

LLM app framework · MIT

LangChain is a framework for building LLM applications by composing prompts, models, tools, memory and agents, with a vast ecosystem of integrations.

  • Huge ecosystem of integrations
  • Building blocks for chains, tools and agents
  • Python and JavaScript support
See the LangChain page →

LiteLLM

LLM gateway / SDK · MIT

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
See the LiteLLM page →

Key differences

LangChain is lLM app framework, while LiteLLM is lLM gateway / SDK. LangChain leans more intermediate-friendly, whereas LiteLLM is more suited to beginner users. In short, LangChain fits developers building tool-using LLM apps, and LiteLLM fits teams standardizing on one LLM interface.

Which should you choose?

Choose LangChain for developers building tool-using LLM 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 LangChain or LiteLLM easier to use?

LiteLLM is generally the easier of the two to get started with, while LangChain rewards more setup with more control.

Are LangChain and LiteLLM free?

LangChain is free and open source (MIT), and LiteLLM is free and open source (MIT). Neither charges for the core software.

Can I run LangChain and LiteLLM locally?

LangChain: cloud-optional · LiteLLM: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.

LangChain vs LiteLLM — which should I pick in 2026?

Choose LangChain for developers building tool-using LLM apps. Choose LiteLLM for teams standardizing on one LLM interface.

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