Apple M3 Pro — Local LLM Performance & Compatibility

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

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Wersja M2 Pro w procesie 3 nm. Do 36 GB pamięci zunifikowanej przy 153 GB/s. 55 t/s na modelach 8B. Wygodnie obsługuje Qwen 3 14B i Phi-4 14B w Q4. 30W poboru całego systemu w laptopie.

Technical Specifications

VRAM	36 GB unified memory
Memory Bandwidth	153 GB/s
TDP	30 W
Architecture	ARM, 3nm TSMC
Release Year	2023
MSRP at Launch	$1,999
Inference Speed (Llama 3.1 8B Q4_K_M)	9.7–20 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 27 GB usable

Buy This HardwareApple MacBook Pro M3 Pro — 36 GB VRAM · 30 W board power Deploy in the Cloud NowNVIDIA A40 on RunPod — from $0.44/hr · rate checked 2026-08

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Apple MacBook Pro M3 Pro

36 GB VRAM · 30 W board power

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LLMs Compatible with 36 GB Unified Memory

All models below run comfortably in 36 GB unified memory with Q4_K_M quantization.

Llama 3.1 Family	Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · `ollama run llama3.1`
Llama 3.2 Family	Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Qwen 3	Qwen 3 32B · 21 GB VRAM · Q4_K_M · `ollama run qwen3:32b`
Gemma 3	Gemma 3 27B Instruct · 17 GB VRAM · Q4_K_M · `ollama run gemma3:27b`
Phi-4 Family	Phi-4 (14B) · 9 GB VRAM · Q4_K_M · `ollama run phi4`
Phi-4 Mini	Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · `ollama run phi4-mini`
Mistral Family	Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · `ollama run mistral-small`
DeepSeek R1	DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`

Best Use Cases

8B–14B models
MacBook Pro 14" / 16"
efficiency

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the Apple M3 Pro run local LLMs?

Yes — the Apple M3 Pro has 36 GB unified memory and runs Wersja M2 Pro w procesie 3 nm. Do 36 GB pamięci zunifikowanej przy 153 GB/s. 55 t/s na modelach 8B. Wygodnie obsługuje Q

How fast is the Apple M3 Pro for AI inference?

The Apple M3 Pro is estimated to run Llama 3.1 8B at 9.7–20 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 27 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 36 GB VRAM?

With 36 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 3, Gemma 3, Phi-4 Family. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — Apple M3 Pro

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