Knowledge Base · Local AI

Ollama vs LM Studio: which should you use?

By Tiny · how I pick

Updated October 2026. No affiliate links on this page. Both are good and both are free to run locally. The choice comes down to how you like to work.

Pick LM Studio if you want a friendly desktop app for browsing, downloading, and chatting with models. It's the easiest first experience.

Pick Ollama if you want to call local models from code or run them as a server. Both use the same engine underneath, llama.cpp, so speed is nearly identical. Plenty of people run both.

Words you'll see in this guide
  • llama.cpp: the free engine that actually runs the model. Both apps are built on it.
  • Command line (CLI): a text window where you type commands instead of clicking buttons.
  • Headless / server mode: running a computer or program with no screen or window, controlled from another device or app.
  • Docker: a tool that runs each app in its own sealed box, so apps don't break each other or your system.
  • RAG: letting a model look things up in your own documents before it answers.

See the full glossary

The main differences

LM StudioOllama
What it isA desktop app with windows and buttonsA command-line tool
Best forBeginners, chatting, trying modelsDevelopers, scripts, serving models to other apps
Finding modelsBuilt-in catalog, one-click downloadType ollama pull in a terminal
Runs as a serverYes, with the headless mode added in 2026Yes, and this is its strength
Enginellama.cppllama.cpp
Cost to run locallyFreeFree, with optional paid cloud plans

What changed in 2026

Older comparisons are out of date because the two tools moved closer together this year.

Running models on your own machine is still free in both.

Choose LM Studio if

You want to try local AI without any setup headaches

You install it and open it like any other app. You browse a catalog of models, it tells you which ones fit your computer, you click download, and you start chatting. There are no commands and no config files. If you're new, or you mostly want to use models rather than build things with them, start here.

Choose Ollama if

You want to connect local AI to code or a home server

Ollama is at its best when other things need to talk to your model: scripts, automations, a private chatbot, a RAG setup that searches your documents, or other devices on your network. It's the natural fit for a home server, and it runs well in Docker. If you're comfortable in a terminal, it's the more powerful choice.

What I'd tell most people: install LM Studio first to see what your computer can do and whether local AI is useful to you at all. Add Ollama later, when you want to build something around a model or run it on a machine that stays on all day. The two work fine side by side.

Before you install either

Both can only run models your hardware can fit. Check yours with the Server Calculator, and see how much RAM each model size needs.

Quick answers

Is Ollama or LM Studio better for running local LLMs?

They suit different people. LM Studio is a friendly desktop app for browsing, downloading, and chatting with models. Ollama is a command-line tool that suits developers and running models as a server. Both use the llama.cpp engine, so speed is nearly the same.

Are Ollama and LM Studio free?

Both are free for running models on your own machine. Ollama also offers optional paid cloud plans for running bigger models on its servers, but local use stays free.

Which is faster, Ollama or LM Studio?

They're almost identical, since both run on llama.cpp. For most people the difference isn't noticeable.

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