Apple M4 — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Up to 32 GB unified memory at 120 GB/s. Fits 7–8B models with room for larger context windows, and can run some 13–14B models at aggressive quantization. Ships in the MacBook Air, Mac mini, iMac, and iPad Pro.

Technical Specifications

VRAM	32 GB unified memory
Memory Bandwidth	120 GB/s
TDP	22 W
Architecture	ARM, 3nm TSMC
Release Year	2024
MSRP at Launch	$999
Inference Speed (Llama 3.1 8B Q4_K_M)	7.7–16 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 24 GB usable

购买此硬件 Apple Mac mini M4 (16GB) — 32 GB VRAM · 22 W board power 立即云端部署 RunPod 上的 NVIDIA A40 — 低至 $0.44/小时 · 价格核实于 2026-08

或在 Vast.ai 比较

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Apple Mac mini M4 (16GB)

32 GB VRAM · 22 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

LLMs Compatible with 32 GB Unified Memory

All models below run comfortably in 32 GB unified memory with Q4_K_M quantization.

Command R Family	Command R (35B) · 22 GB VRAM · Q4_K_M · `ollama run command-r`
Qwen 3.5	Qwen 3.5 35B-A3B · 22 GB VRAM · Q4_K_M · `ollama run qwen3.5:35b-a3b`
Qwen 3.6	Qwen 3.6 35B-A3B · 22 GB VRAM · Q4_K_M · `ollama run qwen3.6:35b-a3b`
Nex-N2	Nex-N2 mini · 22 GB VRAM · Q4_K_M · nex-n2
Yi 1.5 Family	Yi 1.5 34B Chat · 22 GB VRAM · Q4_K_M · `ollama run yi:34b`
Qwen 3	Qwen 3 32B · 21 GB VRAM · Q4_K_M · `ollama run qwen3:32b`
Aya Expanse	Aya Expanse 32B · 20 GB VRAM · Q4_K_M · `ollama run aya-expanse:32b`
DeepSeek R1	DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`

56 more families also fit 32 GB — browse the full model library.

Best Use Cases

8B–14B models (Q4)
MacBook Air
Mac mini
iPad Pro

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the Apple M4 run local LLMs?

Yes — the Apple M4 has 32 GB unified memory and runs Up to 32 GB unified memory at 120 GB/s. Fits 7–8B models with room for larger context windows, and can run some 13–14B m

How fast is the Apple M4 for AI inference?

The Apple M4 is estimated to run Llama 3.1 8B at 7.7–16 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 24 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 32 GB VRAM?

With 32 GB you can run: Command R Family, Qwen 3.5, Qwen 3.6, Nex-N2, Yi 1.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.

Can I Run It? — Apple M4

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Buying Guide

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