Jan 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?
Jan
Open-source offline ChatGPT alternative for the desktop
VS
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | Jan | llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | AGPL-3.0 | MIT |
| Language | TypeScript | C++ |
| Setup difficulty | Easy | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | binary, bare-metal | binary, bare-metal, docker |
| GitHub stars | ★ 43,899 | ★ 123,039 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT | OpenAI API |
Why pick each one
Choose Jan if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- Mature project with 43.9k GitHub stars
- Written in TypeScript
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 Jan or llama.cpp better?
Neither is universally better. llama.cpp has the larger community, while Jan is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Jan and llama.cpp free and open-source?
Yes. Jan is licensed under AGPL-3.0 and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run Jan and llama.cpp with Docker?
Jan: check the project docs for container support. llama.cpp: yes.