The main Ollama alternatives on a Mac are LM Studio for a full app, llama.cpp for the engine underneath, Apple's MLX LM for Apple silicon, and Jan or Msty for chat. llama.cpp (MIT) is the C and C++ engine Ollama itself builds on; on Apple silicon it uses Metal, and its serve command starts an OpenAI compatible server. MLX LM (MIT, from Apple's ml-explore team) is a Python package that runs and fine-tunes models on Apple silicon with MLX, pulling them from Hugging Face. LM Studio, closed source but free for home and work, wraps llama.cpp and MLX in a desktop app with a local server. Jan (Apache 2.0) is an open source chat app with a bundled llama.cpp engine and a local API. Msty Studio, commercial with a free tier, runs Ollama, llama.cpp or MLX inside one workspace. Grux OS (MIT) is not a runtime, it uses one: Ollama by default, or any local OpenAI compatible server, so you can swap what runs underneath it.
| Alternative | License | What it is | Best for |
|---|---|---|---|
| LM Studio | Closed source, free for home and work | A desktop app on llama.cpp and MLX, with a local server | Finding and testing models with a graphical app |
| llama.cpp | MIT | The C and C++ inference engine, with a CLI and an OpenAI compatible server | The most control, one layer below Ollama |
| MLX LM | MIT | Apple's Python package for running and fine-tuning models with MLX | Apple silicon only work, and fine-tuning |
| Jan | Apache 2.0 | An open source chat app with a bundled llama.cpp engine and a local API | Open source chat, fully offline |
| Msty Studio | Commercial, with a free tier | A workspace that runs Ollama, llama.cpp or MLX | Many models in one window |
An app that lets you set an OpenAI compatible address can move from Ollama to llama.cpp, LM Studio or Jan, which all serve that API: change the address and keep the rest. An app that only speaks Ollama's own API cannot. Grux OS decides a model is local by its address, so any server at a localhost address counts as local, whichever runner is behind it.
ollama run and a model name.| Claim | Source |
|---|---|
| Ollama lists llama.cpp as its supported backend | Ollama README |
| llama.cpp is MIT, uses Metal on Apple silicon, and serves an OpenAI compatible API | llama.cpp README |
| MLX LM runs and fine-tunes models on Apple silicon, from the Hugging Face Hub | MLX LM README |
| LM Studio runs llama.cpp and MLX models and serves local endpoints | LM Studio docs |
| Jan bundles a llama.cpp engine and serves a local OpenAI compatible API | Jan README |
| Grux counts any localhost server as a local model | ModelRates.swift |