---
title: "Mac mini for Local AI: What Each Chip Can Run | ModelPiper"
description: "Which LLMs run on a Mac mini, the cheapest way into local AI on Apple Silicon. Every generation with memory bandwidth, unified memory options, and model fit ratings."
canonical: "https://modelpiper.com/mac-mini"
---

# Mac mini for Local AI: What Each Chip Can Run | ModelPiper

> Which LLMs run on a Mac mini, the cheapest way into local AI on Apple Silicon. Every generation with memory bandwidth, unified memory options, and model fit ratings.

# Mac mini for local AI

Every Mac mini generation, with the memory bandwidth and unified memory that decide which models it can run. Pick a chip for its full model fit breakdown.

The M4 Pro is the current generation at 273 GB/s and up to 64 GB. On the used market the M2 Pro is the one to look for: 200 GB/s and up to 32 GB, which is the pairing that decides what runs, and neither figure changes with the age of the machine.

[

M4 Pro2024

273 GB/s · 24 to 64 GB unified memory

Holds about a 85B model at Q4

](/mac-mini/m4-pro)[

M42024

120 GB/s · 16 to 32 GB unified memory

Holds about a 42B model at Q4

](/mac-mini/m4)[

M2 Pro2023

200 GB/s · 16 to 32 GB unified memory

Holds about a 42B model at Q4 · Used market

](/mac-mini/m2-pro)[

M22022

100 GB/s · 8 to 24 GB unified memory

Holds about a 31B model at Q4 · Used market

](/mac-mini/m2)[

M12020

68.25 GB/s · 8 to 16 GB unified memory

Holds about a 20B model at Q4 · Used market

](/mac-mini/m1)

## Comparing against a model instead?

Start from the model and see every Mac that runs it, with fit ratings and speed estimates.

[Browse the model database](/fit)

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