Local inference
LM Studio
Desktop app for downloading, chatting with, and serving local models — no terminal required.
- Category
- Local inference
- Pricing
- Free tier
- Runs
- Runs locally
- Interface
- Desktop app, API
- Source
- Proprietary
What LM Studio is
LM Studio is a graphical desktop application for finding, downloading, and running local models, with a built-in chat interface and a local server exposing an OpenAI-compatible endpoint. It shows which models your machine can actually handle before you download several gigabytes.
Best for
Running models locally without the terminal, and comparing several quickly in one interface.
Consider something else if
A desktop application, so it is not the tool for a headless server.
LM Studio alternatives
The closest options in local inference, on the axes that actually separate them.
| Tool | Best for | Pricing | Runs |
|---|---|---|---|
| LM Studio | Running models locally without the terminal, and comparing several quickly in one interface. | Free tier | Runs locally |
| Ollamaopen source | Anyone trying local inference for the first time, and for local development against a model that costs nothing per call. | Open source | Runs locally |
| llama.cppopen source | Squeezing a model onto constrained hardware, and embedding inference into your own application. | Open source | Runs locally |
| vLLMopen source | Serving an open-weight model to real traffic on GPUs you operate. | Open source | Self-hosted |
| MLXopen source | Getting the most out of a Mac, and local fine-tuning on Apple silicon. | Open source | Runs locally |
Choosing within local inference
One user or many
Single-user tools optimise for a fast start and easy model switching. Serving engines optimise throughput across concurrent requests via batching. Using the first for a production endpoint wastes most of your GPU.
Your hardware
Apple silicon, NVIDIA, and CPU-only are genuinely different targets. Some tools cover all three; others are built for one and are much faster on it.
Questions
What is LM Studio?
LM Studio is a graphical desktop application for finding, downloading, and running local models, with a built-in chat interface and a local server exposing an OpenAI-compatible endpoint. It shows which models your machine can actually handle before you download several gigabytes. It is a commercial product and runs locally.
What are the alternatives to LM Studio?
The closest alternatives are Ollama, llama.cpp, vLLM, MLX. They sit in the same category — local inference — and differ mainly on hosting model, pricing shape, and how much they abstract away.
Is LM Studio the right choice?
Running models locally without the terminal, and comparing several quickly in one interface. The main caveat: A desktop application, so it is not the tool for a headless server.
Whatever you build on, the model is the line item that scales. See what each one costs per million tokens, or price your own workload.