MLC LLM vs SGLang
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
MLC LLM
Universal LLM deployment engine for any hardware
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SGLang
Fast serving framework for LLMs and vision-language models
| Feature | MLC LLM | SGLang |
|---|---|---|
| Category | Local LLM Runners | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Hard |
| Min. RAM | 4,096 MB | 16,384 MB |
| Deployment | source, binary | docker, kubernetes, bare-metal |
| GitHub stars | ★ 23,040 | ★ 31,514 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose MLC LLM if…
- Released under the Apache-2.0 license
- Mature project with 23k GitHub stars
- Written in Python
Choose SGLang if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
Frequently asked questions
Is MLC LLM or SGLang better?
Neither is universally better. SGLang has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are MLC LLM and SGLang free and open-source?
Yes. MLC LLM is licensed under Apache-2.0 and SGLang under Apache-2.0. Both can be self-hosted at no software cost.
Can I run MLC LLM and SGLang with Docker?
MLC LLM: check the project docs for container support. SGLang: yes.