LangChain vs
LiteLLMLangChain 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
| Spec | LangChain | LiteLLM |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | LLM app framework | LLM gateway / SDK |
| License | MIT | MIT |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python / JS | Python |
| Ease of use | Intermediate | Beginner |
| Best for | developers building tool-using LLM apps | teams standardizing on one LLM interface |
| GitHub stars | 141.9k | 53.8k |
| Criterion | LangChain | LiteLLM |
|---|---|---|
| Popularity | 5.0 | 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.
LangChain is a framework for building LLM applications by composing prompts, models, tools, memory and agents, with a vast ecosystem of integrations.
LiteLLMLiteLLM is a gateway and SDK that exposes 100+ LLM providers behind the OpenAI format, adding routing, fallbacks, budgets and observability.
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.
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.
LiteLLM is generally the easier of the two to get started with, while LangChain rewards more setup with more control.
LangChain is free and open source (MIT), and LiteLLM is free and open source (MIT). Neither charges for the core software.
LangChain: cloud-optional · LiteLLM: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose LangChain for developers building tool-using LLM apps. Choose LiteLLM for teams standardizing on one LLM interface.
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