Hardware Detail MacPrevious gen

Mac mini M4 16GB

Mac mini M4 16GB profile for local AI model planning.

AppleAPPLE M42024-1116GB unified

AI Memory

16GB unified

Usable model memory reserves headroom for OS, runtime, and KV cache.

LLM Score

mainstream

Power

25W

Average AI load

Value Score

9.5

Planner signal

Task Fit

Chat92

Strong fit for chat workloads in the current planner.

Code90

Strong fit for code workloads in the current planner.

RAG90

Strong fit for rag workloads in the current planner.

Agent87

Strong fit for agent workloads in the current planner.

Vision82

Usable for vision, with tradeoffs around speed, memory, or runtime maturity.

Embedding72

Usable for embedding, with tradeoffs around speed, memory, or runtime maturity.

Voice68

Usable for voice, with tradeoffs around speed, memory, or runtime maturity.

Image generation46

Not a primary fit for image generation in the current hardware pool.

Video generation33

Not a primary fit for video generation in the current hardware pool.

Runtime Support

ollamaExcellent

llama.cppExcellent

LM StudioExcellent

vllmUnsupported

sglangUnsupported

ComfyUIPartial

diffusersPartial

Specs

CPU cores10

GPU cores10

System RAM16GB

Unified memory16GB

VRAM—

Usable model memory12GB

CUDANo

MetalSupported

ROCmNo

Cost and Ops

Hardware price$599

Build cost—

UPS / accessories$150

5-year estimate$670

Expected lifespan7 years

Residual value30%

Build requiredNo

Models This Hardware Can Run

Estimated from default model artifacts, VRAM, unified memory, and recommended RAM.

10 compatible defaults

Kimi VL A3B Thinking 2506

Compatible

Moonshot AI · Q4_K_M

8GB recommended

Gemma 4 E2B It QAT Mobile Transformers

Google · Q4_K_M

· FP16

Nomic Embed Text v1.5

· FP16

OpenAI · FP16

· FP16

· FP16

· Q4_K_M

· Q4_K_M

Best For

small models (8B-14B)coding assistantRAG on edge

Mac mini M4 16GB profile for local AI model planning.

Source Confidence

SpecsEstimated

PriceEstimated

PowerEstimated

PerformanceEstimated

Updated2026-06-18

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