LM Studio
Discover, download, and run local language models easily.
- Status
- Generally available
- Last checked
- Checked · Oct 12, 2026
- License
- Proprietary
- Pricing
- Free tier
What it is
LM Studio is a platform that enables users to discover, download, and run local large language models. It simplifies the process of working with LLMs by providing an easy-to-use interface for managing these models locally.
LM Studio stands out by providing an intuitive platform specifically designed for the discovery, download, and management of large language models locally.
When it fits — and when it doesn’t
A good fit for
Developers who need an easy-to-use platform for managing local language models
Teams that prefer running LLMs locally due to data privacy or performance reasons
Researchers requiring a simple interface to test multiple large language models
Look elsewhere if
Users looking for cloud-based deployment options for their LLMs
Projects with strict budget constraints as it may require local hardware investment
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Expensive at scale due to local resource demands
Running large language models locally can consume significant computational resources, leading to high hardware costs
What it does well
Easy discovery and download of local LLMs
User-friendly interface for managing models locally
Support for various large language models
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up LM Studio
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for LM Studio’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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