llama.cpp vs OpenLLM
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?
llama.cpp
High-performance LLM inference in plain C/C++
VS
OpenLLM
Run any open LLM as an OpenAI-compatible API endpoint
| Feature | llama.cpp | OpenLLM |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | C++ | Python |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | binary, bare-metal, docker | docker, kubernetes, bare-metal |
| GitHub stars | ★ 123,039 | ★ 12,452 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
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++
Choose OpenLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 12.5k GitHub stars
Frequently asked questions
Is llama.cpp or OpenLLM better?
Neither is universally better. llama.cpp has the larger community, while OpenLLM is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and OpenLLM free and open-source?
Yes. llama.cpp is licensed under MIT and OpenLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run llama.cpp and OpenLLM with Docker?
llama.cpp: yes. OpenLLM: yes.