Ollama vs LM Studio.
Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. LM Studio: Point-and-click model management with an OpenAI-compatible local server; good for comparing GGUF vs MLX builds of the same model on a Mac.
| Ollama | LM Studio | |
|---|---|---|
| What it is | The one-command local model runner with a REST API on port 11434. | Desktop app for discovering and running local models, plus the lms CLI and a local server. |
| Licence | MIT | lms CLI: MIT (LM Studio desktop app is proprietary freeware) |
| Runs on | Mac (Apple chip), Linux, Windows | Mac (Apple chip), Linux, Windows |
| Install (Mac) | curl -fsSL https://ollama.com/install.sh | sh | brew install --cask lm-studio |
| Check it works | ollama --version | lms status |
| GitHub stars | 183,450 | 5,352 |
| Last push | 2026-10-16 | 2026-10-14 |
| Works with | open-webui, litellm, aider, mem0 | open-webui, litellm, aider |
| Kit says | If someone asks me how to get a model running in five minutes, I point here. It's the default backend half the directory plugs into. | The friendliest GUI in the directory. The app itself isn't open source, but the lms CLI is, and that's what I'd script. |
Ollama · watch out
- Model names change frequently; confirm on ollama.com/library.
LM Studio · watch out
- Desktop app is not open source; only the CLI repo is.
Short answers.
- What is the difference between Ollama and LM Studio?
- Ollama: The one-command local model runner with a REST API on port 11434. LM Studio: Desktop app for discovering and running local models, plus the lms CLI and a local server.
- Which should I pick, Ollama or LM Studio?
- Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. LM Studio: Point-and-click model management with an OpenAI-compatible local server; good for comparing GGUF vs MLX builds of the same model on a Mac.
- Are Ollama and LM Studio free and open source?
- Ollama: MIT. LM Studio: lms CLI: MIT (LM Studio desktop app is proprietary freeware).
Facts from each tool's docs and repo, checked 2026-10-15 and 2026-10-15. Stars checked on the listing date.
# Ollama vs LM Studio URL: https://insidethemachine.ai/compare/ollama-vs-lm-studio Facts from the site's runbooks (checked 2026-10-15 / 2026-10-15). No speed claims: we have not benchmarked them on the Mac Studio yet. ## Ollama The one-command local model runner with a REST API on port 11434. - Best for: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. - Kit says: If someone asks me how to get a model running in five minutes, I point here. It's the default backend half the directory plugs into. - Licence: MIT - Runs on: Mac (Apple chip), Linux, Windows - Install (Mac): `curl -fsSL https://ollama.com/install.sh | sh` - Check it works: `ollama --version` - GitHub stars: 183,450 (last push 2026-10-16) - Works with: open-webui, litellm, aider, mem0 - Caveats: Model names change frequently; confirm on ollama.com/library. - Runbook: https://insidethemachine.ai/setups/ollama.md · https://ollama.com/ ## LM Studio Desktop app for discovering and running local models, plus the lms CLI and a local server. - Best for: Point-and-click model management with an OpenAI-compatible local server; good for comparing GGUF vs MLX builds of the same model on a Mac. - Kit says: The friendliest GUI in the directory. The app itself isn't open source, but the lms CLI is, and that's what I'd script. - Licence: lms CLI: MIT (LM Studio desktop app is proprietary freeware) - Runs on: Mac (Apple chip), Linux, Windows - Install (Mac): `brew install --cask lm-studio` - Check it works: `lms status` - GitHub stars: 5,352 (last push 2026-10-14) - Works with: open-webui, litellm, aider - Caveats: Desktop app is not open source; only the CLI repo is. - Runbook: https://insidethemachine.ai/setups/lm-studio.md · https://lmstudio.ai/ ## Questions **What is the difference between Ollama and LM Studio?** Ollama: The one-command local model runner with a REST API on port 11434. LM Studio: Desktop app for discovering and running local models, plus the lms CLI and a local server. **Which should I pick, Ollama or LM Studio?** Ollama: The easiest on-ramp: model management plus a stable local API that harnesses, UIs and memory layers already support. LM Studio: Point-and-click model management with an OpenAI-compatible local server; good for comparing GGUF vs MLX builds of the same model on a Mac. **Are Ollama and LM Studio free and open source?** Ollama: MIT. LM Studio: lms CLI: MIT (LM Studio desktop app is proprietary freeware).