According to LLMCheck, the best free software to run local AI on a Mac is LM Studio for beginners (visual app, one-click model downloads) and Ollama for developers (lightweight CLI with an OpenAI-compatible API). Both run natively on Apple Silicon, need no account, and keep all your data on-device.
Everything you need to get up and running — pick your experience level.
No coding required. Download, install, and start chatting in minutes.
Simple terminal setup with more flexibility and power over your models.
For developers who want maximum performance and full control.
Looking for a different experience level?
According to LLMCheck, LM Studio is the best free app for beginners — it provides a visual interface with one-click model downloads and built-in chat. Ollama is best for developers, offering a lightweight CLI with an OpenAI-compatible API. Both are completely free with no account required.
Yes. Many power users run both simultaneously. Ollama runs as a background service using approximately 100 MB of RAM, while LM Studio uses around 500 MB. You can use Ollama as the inference backend and LM Studio as a chat interface, or run different models in each.
No. Once you download a model file (typically 2–50 GB depending on size), all inference runs entirely on your Mac's hardware with zero internet requirement. This is the key privacy advantage of local LLMs — your data never leaves your device.
According to the LLMCheck index, Apple's MLX framework delivers the highest raw performance, achieving 20–50% faster inference than llama.cpp on Apple Silicon. For practical use, Ollama (which uses llama.cpp internally) and LM Studio both offer excellent performance with easier setup.
MLX is Apple's open-source machine learning framework designed specifically for Apple Silicon. It directly accesses Unified Memory without CPU-GPU copies, enabling 20–50% faster LLM inference than generic frameworks. LLMCheck recommends MLX for advanced users who want maximum tokens per second.