Llama Stack vs MLX LM
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Llama Stack
Composable API server for building generative AI applications
VS
MLX LM
Run and fine-tune LLMs locally on Apple Silicon with MLX
| Feature | Llama Stack | MLX LM |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 16,384 MB |
| Deployment | docker, source | source, binary |
| GitHub stars | ★ 8,421 | ★ 6,543 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose Llama Stack if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.4k GitHub stars
- Written in Python
Choose MLX LM if…
- Released under the MIT license
- Mature project with 6.5k GitHub stars
- Written in Python
Frequently asked questions
Is Llama Stack or MLX LM better?
Neither is universally better. Llama Stack has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Llama Stack and MLX LM free and open-source?
Yes. Llama Stack is licensed under MIT and MLX LM under MIT. Both can be self-hosted at no software cost.
Can I run Llama Stack and MLX LM with Docker?
Llama Stack: yes. MLX LM: check the project docs for container support.