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Is the Mac Mini M4 Good for Local LLMs in 2026?

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Wichtigste Punkte

  • ✓Best pick: Mac Mini M4 Pro with 24 GB unified memory — runs 8B models smoothly and most 14B models at Q4
  • ✓Unified memory architecture means RAM is shared between CPU and GPU — no separate VRAM ceiling to plan around
  • ✓The base Mac Mini M4 with 16 GB runs 8B models but leaves limited headroom for larger models or long context
  • ✓The M4 uses Apple Metal for GPU acceleration; Ollama and LM Studio support it with no driver setup

Best Pick: Mac Mini M4 Pro with 24 GB Unified Memory

The Mac Mini M4 Pro with 24 GB of unified memory is the best-value Apple option for local LLMs because 24 GB comfortably runs 8B models and most 14B models at Q4 quantization. Unified memory is shared between CPU and GPU, so there is no separate VRAM budget to manage.

An 8B model at Q4 uses roughly 5 GB; a 14B model uses roughly 9-10 GB. With 24 GB total, the M4 Pro leaves ample room for the context window, the operating system, and other apps. The base Mac Mini M4 with 16 GB runs 8B models but has tight headroom for anything larger.

The M4 uses Apple Metal for GPU acceleration, and Ollama and LM Studio support it with no driver setup. Choose the base 16 GB M4 if you only run 8B models and want the lowest price. Choose the M4 Pro 24 GB if you want room to grow into 14B models. For pricing, check current Apple and retailer listings — configurations vary.

Mac Mini M4 Configurations for Local LLMs

The deciding factor is unified memory size — it sets the largest model you can run. Prices vary by retailer and configuration; check current listings before buying.

ConfigurationUnified MemoryLargest model (Q4)Best for
Mac Mini M4 (base)16 GB8B comfortablyLowest price, 8B only
Mac Mini M4 Pro24 GB14B comfortablyBest value — room to grow
Mac Mini M4 Pro (upgraded)48 GB+30B-classLarger models, higher cost

Related Reading

  • ▸[Best Mini PC for Local LLM](/prompt-bites/best-mini-pc-for-local-llm) — Mac Mini M4 compared with AMD mini PCs
  • ▸[Best eGPU for Ollama on a MacBook](/prompt-bites/best-egpu-ollama-macbook) — why eGPUs do not help Apple Silicon LLM inference
  • ▸[Best Local LLM for a 16 GB RAM Laptop](/prompt-bites/best-local-llm-16gb-ram-laptop) — model picks at the 16 GB memory tier

Quick Answers About the Mac Mini M4 for Local LLMs

Can the Mac Mini M4 run 8B models?▾
Yes. The base Mac Mini M4 with 16 GB of unified memory runs 8B models at Q4 quantization smoothly. The M4 Pro with 24 GB runs them with more headroom and also handles most 14B models.
What does unified memory mean for local LLMs?▾
Unified memory is RAM shared between the CPU and GPU on Apple Silicon. There is no separate VRAM pool, so the full memory amount is available to load a model. A 24 GB Mac Mini M4 Pro can dedicate most of that 24 GB to inference.
How much memory should I buy in a Mac Mini M4 for LLMs?▾
Buy 24 GB if you want to run 14B models comfortably. Memory cannot be upgraded after purchase on Apple Silicon, so size for the largest model you expect to run, not just today's needs.
Do I need extra software to run LLMs on a Mac Mini M4?▾
No special drivers are needed. Ollama and LM Studio both support Apple Metal GPU acceleration on the M4 out of the box. Install the app, pull a model, and run.
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