exo 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.
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | exo | llama.cpp |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 98 · Excellent | 100 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | GPL-3.0 | MIT |
| Language | Python | C++ |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | source | binary, bare-metal, docker |
| GitHub stars | ★ 47,624 | ★ 129,361 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API |
What are exo and llama.cpp?
exo
exo is an open-source project that unifies multiple everyday devices into a single AI compute cluster for running large language models. It splits models across phones, laptops, and desktops and exposes an OpenAI-compatible API.
- Distributes models across devices
- OpenAI-compatible API
- Automatic device discovery
- No master node required
llama.cpp
llama.cpp is a C/C++ inference engine for running LLaMA-family and many other models efficiently on CPUs and GPUs. It pioneered the GGUF quantized model format and powers a large portion of the local-AI ecosystem.
- GGUF quantization
- Runs on modest hardware
- Built-in HTTP server
- Broad GPU backend support
exo vs llama.cpp: key differences
Exo is written in Python, while llama.cpp is built with C++. Licensing differs — GPL-3.0 for exo versus MIT for llama.cpp. Llama.cpp has the considerably larger community, at 129,361 GitHub stars versus 47,624. Llama.cpp lists first-class Docker deployment; exo does not.
Why pick each one
Choose exo if…
- Pools everyday devices
- OpenAI-compatible API
- Runs fully offline
Watch out for
- Experimental and evolving
- Network limits performance
Choose llama.cpp if…
- Runs on modest CPUs
- Broad hardware support
- Pioneered GGUF quantization
Watch out for
- Command-line focused
- Frequent breaking changes
Frequently asked questions
Is exo or llama.cpp better?
Neither is universally better. llama.cpp has the larger community, while exo is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are exo and llama.cpp free and open-source?
Yes. exo is licensed under GPL-3.0 and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run exo and llama.cpp with Docker?
exo: check the project docs for container support. llama.cpp: yes.