llama.cpp vs One API
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++
VS
One API
Unified OpenAI-compatible gateway for many LLM providers
| Feature | llama.cpp | One API |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 100 · Excellent | 61 · Good |
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | MIT |
| Language | C++ | Go |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 256 MB |
| Deployment | binary, bare-metal, docker | docker, binary |
| GitHub stars | ★ 129,361 | ★ 37,009 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, OpenRouter |
What are llama.cpp and One API?
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
One API
One API is an LLM API management and distribution system that exposes a single OpenAI-compatible endpoint while routing to many upstream providers. It adds key management, channel load balancing, usage tracking and multi-user billing.
- Unified OpenAI-compatible API
- Channel load balancing
- Token and quota management
- Multi-user support
llama.cpp vs One API: key differences
Llama.cpp is written in C++, while One API is built with Go. One API is the lighter option, starting around 256 MB of RAM against 8,192 MB for llama.cpp. Llama.cpp has the considerably larger community, at 129,361 GitHub stars versus 37,009.
Why pick each one
Choose llama.cpp if…
- Runs on modest CPUs
- Broad hardware support
- Pioneered GGUF quantization
Watch out for
- Command-line focused
- Frequent breaking changes
Choose One API if…
- Single OpenAI-compatible endpoint
- Built-in usage billing
- Easy Docker deployment
Watch out for
- Documentation mostly Chinese
- Scaling needs external database
Frequently asked questions
Is llama.cpp or One API better?
Neither is universally better. llama.cpp has the larger community, while One API is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are llama.cpp and One API free and open-source?
Yes. llama.cpp is licensed under MIT and One API under MIT. Both can be self-hosted at no software cost.
Can I run llama.cpp and One API with Docker?
llama.cpp: yes. One API: yes.
Which is lighter on resources, llama.cpp or One API?
One API has the smaller minimum footprint at 256 MB of RAM, compared to about 8,192 MB for llama.cpp. Real-world usage depends on library size, user count, and enabled features.