AI Tool
LM Studio pricing, features, company info, and alternatives
A factual product page for LM Studio as a local AI desktop app and API platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for LM Studio, last verified Apr 25, 2026.
Free
$0
Free for home and work use; the public site does not publish fixed dollar pricing for Teams or Enterprise.
What You Can Do With It
The main capabilities that shape how people use LM Studio today.
Runs local LLMs on macOS, Windows, and Linux, including llama.cpp support and MLX support on Apple Silicon.
Includes a desktop chat UI, offline document chat, model search and download via Hugging Face, and local model management.
Provides a native REST API plus OpenAI-compatible and Anthropic-compatible endpoints, along with TypeScript and Python SDKs and the lms CLI.
Can act as an MCP client and offers llmster for headless deployment on servers, cloud instances, or CI.
Best For
Who LM Studio is most clearly built for.
Developers building local-model workflows, local AI prototypes, or self-contained inference stacks.
Teams that want on-device inference, offline document chat, and a local API server.
People who prefer a desktop model manager with SDKs and CLI support instead of a hosted model platform.
Company
Leadership and company context for Element Labs, Inc..
Headquarters
New York, USA
Platforms
Where you can use LM Studio today.
macOS
Windows
Linux
Headless servers
Cloud instances
CI
Integrations
Notable connected tools and ecosystem hooks for LM Studio.
Hugging Face
MCP servers
Codex
Claude Code
OpenClaw
Privacy Notes
Publicly stated data-handling notes that matter when evaluating LM Studio.
Chats, chat histories, and documents stay on the user's device by default.
The company says it only receives data when users search for or download models, when the app checks for updates, or when users email support.
The privacy policy says LM Studio does not sell personal information and does not include telemetry or user-specific tracking.
Access
How to integrate or build around LM Studio.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside LM Studio.
Private AI workspace for documents, agents, and local or cloud models.
Developer AI platform for source-controlled PR checks, terminal agents, and workflow management.
Unified API and chat layer for routing across hundreds of AI models and providers.
Product Snapshot
LM Studio is a desktop app and local AI platform for running LLMs on your own hardware. It includes a chat interface, local model management, document chat, a headless daemon mode, and developer APIs for local inference.
What You Can Do With It
- Run local LLMs on macOS, Windows, and Linux, including llama.cpp and MLX-based workloads.
- Download and manage models inside the app, including model search and download through Hugging Face.
- Serve local models through a native REST API, OpenAI-compatible endpoints, and Anthropic-compatible endpoints.
- Use the TypeScript SDK, Python SDK, and
lmsCLI for local AI workflows and automation.
Why It Stands Out
LM Studio combines a consumer-friendly desktop app with developer-facing APIs and headless deployment options. That makes it useful both for local experimentation and for building software that talks to a local model server.
Tradeoffs To Know
- The current public site clearly advertises free home and work use, but it does not publish fixed dollar pricing for Teams or Enterprise.
- LM Studio is centered on local inference, so it is a poor fit if you want a managed hosted model service.
- The public materials are strongest on developer workflows and local deployment; they say less about corporate procurement details beyond the enterprise contact flow.