llama.cpp vs LM Studio
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
LM Studio
Desktop app to discover, download, and run local LLMs
| Feature | llama.cpp | LM Studio |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Proprietary |
| Language | C++ | TypeScript |
| Setup difficulty | Hard | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | binary, bare-metal, docker | binary, bare-metal |
| GitHub stars | ★ 123,039 | ★ 5,000 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | ChatGPT |
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 LM Studio if…
- Released under the Proprietary license
- Easy to set up — beginner-friendly
- Mature project with 5k GitHub stars
- Written in TypeScript
Frequently asked questions
Is llama.cpp or LM Studio better?
Neither is universally better. llama.cpp has the larger community, while LM Studio is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and LM Studio free and open-source?
Yes. llama.cpp is licensed under MIT and LM Studio under Proprietary. Both can be self-hosted at no software cost.
Can I run llama.cpp and LM Studio with Docker?
llama.cpp: yes. LM Studio: check the project docs for container support.