The Continuity Layer
Run your own AI · Ollama vs LM Studio

Ollama vs LM Studio

thecontinuitylayer.com/open/compare/ollama-vs-lm-studio

Checked 6 November 2026. US dollars. No affiliate links.

Short answer: LM Studio if you want an app with buttons; Ollama if you will connect other tools to your model. Both are free for local models, both run the same open models, and many people install both.

Side by side

LM StudioOllama
What it isA desktop app: find, download and chatA small program and local server, driven by commands
Easiest forBeginners; no terminalBuilders; one command per model
Open sourceNo (the app's code is not published)Yes, MIT
PlatformsApple Silicon Macs (macOS 14+), Windows, LinuxmacOS, Windows, Linux, Docker
Enginesllama.cpp, and MLX on MacsIts own runner on llama.cpp's GGUF models
Local serverYes, OpenAI-compatible (port 1234 in its docs)Yes, OpenAI-compatible subset at localhost:11434
Runs headlessYes (llmster daemon, lms command)Yes, by design
Cloud modelsHosted models on paid plansModels tagged :cloud run on Ollama's servers
PriceFree for local; Bionic+ $20/month, Pro $100/monthFree; cloud models need an account
Plugs intoApps that speak the OpenAI APIMost local-AI apps, coding tools and agents support it by name

From LM Studio's pricing, system requirements and developer docs, and Ollama's repository and API docs, read on 6 November 2026.

Which to pick

  • Pick LM Studio to try models without a terminal, to compare a few side by side, or on a Mac where its MLX engine helps.
  • Pick Ollama to feed a model into other things: Open WebUI, a coding agent, a script, a home server. It is the name other tools expect.
  • Want LM Studio's ease, but open source? Look at Jan.

Next

Install either one in fifteen minutes with your first local model, or compare all nine apps in local AI apps.