LiteLLM vs llama.cpp
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
LiteLLM
Unified proxy and gateway for 100+ LLM APIs
VS
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | LiteLLM | llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | MIT |
| Language | Python | C++ |
| Setup difficulty | Medium | Hard |
| Min. RAM | 1,024 MB | 8,192 MB |
| Deployment | docker, kubernetes, bare-metal | binary, bare-metal, docker |
| GitHub stars | ★ 55,843 | ★ 123,039 |
| First released | 2023 | 2023 |
| Replaces | OpenRouter | OpenAI 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
Choose llama.cpp if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 123k GitHub stars
- Written in C++
Frequently asked questions
Is LiteLLM or llama.cpp better?
Neither is universally better. llama.cpp 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 llama.cpp free and open-source?
Yes. LiteLLM is licensed under MIT and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run LiteLLM and llama.cpp with Docker?
LiteLLM: yes. llama.cpp: yes.