LiteLLM vs vLLM

A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.

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FeatureLiteLLMvLLM
CategoryLocal LLM RunnersLocal LLM Runners
LicenseMITApache-2.0
LanguagePythonPython
Setup difficultyMediumHard
Min. RAM1,024 MB16,384 MB
Deploymentdocker, kubernetes, bare-metaldocker, kubernetes, bare-metal
GitHub stars★ 55,843★ 88,482
First released20232023
ReplacesOpenRouterOpenAI API

Why pick each one

Choose LiteLLM if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 55.8k GitHub stars
LiteLLM details

Choose vLLM if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 88.5k GitHub stars
vLLM details

Frequently asked questions

Is LiteLLM or vLLM better?

Neither is universally better. vLLM has the larger community, while LiteLLM is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.

Are LiteLLM and vLLM free and open-source?

Yes. LiteLLM is licensed under MIT and vLLM under Apache-2.0. Both can be self-hosted at no software cost.

Can I run LiteLLM and vLLM with Docker?

LiteLLM: yes. vLLM: yes.

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