Best Mac Mini for Running Local LLMs and OpenClaw: Complete Pricing & Buying Guide (2026)

TL;DR: The Mac Mini M4 Pro with 48GB RAM ($1,599 new) is the sweet spot for local LLMs — it runs 70B parameter models like Llama 3.1 70B comfortably. The 24GB M4 base ($599) handles 7B-13B models. For 100B+ models, you need 128GB+ RAM ($3,199+). Used M2 Pro models with 32GB start around $800. Apple Silicon's unified memory architecture eliminates the VRAM bottleneck that limits GPU-based setups. Apple's unified memory architecture means the CPU, GPU, and Neural Engine share one memory pool — no PCIe bottleneck, no copying between VRAM and system RAM. This is exactly what LLM inference needs, and it makes the Mac Mini a compelling option for running local models and AI agents like OpenClaw . But which Mac Mini should you actually buy? And should you buy new or used? I researched every Apple Silicon Mac Mini configuration, checked current used market prices, and mapped out exactly which LLM models you can run on each RAM tier — including what you need to run OpenClaw with local models. H