LM Studio vs LMDeploy
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?
LM Studio
Desktop app to discover, download, and run local LLMs
VS
LMDeploy
Toolkit for compressing and serving large language models
| Feature | LM Studio | LMDeploy |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Proprietary | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | binary, bare-metal | docker, source |
| GitHub stars | ★ 5,000 | ★ 7,998 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT | OpenAI API, Hugging Face Inference Endpoints |
Why pick each one
Choose LM Studio if…
- Released under the Proprietary license
- Easy to set up — beginner-friendly
- Mature project with 5k GitHub stars
- Written in TypeScript
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Frequently asked questions
Is LM Studio or LMDeploy better?
Neither is universally better. LMDeploy 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 LM Studio and LMDeploy free and open-source?
Yes. LM Studio is licensed under Proprietary and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run LM Studio and LMDeploy with Docker?
LM Studio: check the project docs for container support. LMDeploy: yes.