Beginner

No coding required. Download, install, and start chatting in minutes.

Intermediate

Simple terminal setup with more flexibility and power over your models.

Advanced

For developers who want maximum performance and full control.

Looking for a different experience level?

Frequently Asked Questions

What is the best free app to run AI locally on Mac?

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.

Can I use Ollama and LM Studio at the same time on Mac?

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.

Do I need an internet connection to run local AI on Mac?

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.

Which local AI app is fastest on Apple Silicon?

According to LLMCheck benchmarks, 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.

What is MLX and why is it faster on Mac?

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.