Apple M3 Max — Local LLM Performance & Compatibility

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

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Do 128 GB zunifikowanej pamięci. Bardzo popularny wśród deweloperów AI. 95 t/s na modelach 8B, 28 t/s na modelach 70B. Dostępny jako MacBook Pro lub Mac Studio.

Technical Specifications

VRAM	64 GB unified memory
Memory Bandwidth	400 GB/s
TDP	35 W
Architecture	ARM, 3nm TSMC
Release Year	2023
MSRP at Launch	$2,499
Inference Speed (Llama 3.1 8B Q4_K_M)	24–49 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	3.2–6.7 tok/s (estimated)

Buy This HardwareApple MacBook Pro M3 Max — 64 GB VRAM · 35 W board power Deploy in the Cloud NowNVIDIA A100 80GB on RunPod — from $1.39/hr · rate checked 2026-07

or compare on Vast.ai from $0.77/hr (typical low · varies)

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Apple MacBook Pro M3 Max

64 GB VRAM · 35 W board power

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LLMs Compatible with 64 GB Unified Memory

All models below run comfortably in 64 GB unified memory with Q4_K_M quantization.

Llama 3.3	Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · `ollama run llama3.3`
Llama 3.1 Family	Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · `ollama run llama3.1`
DeepSeek R1	DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`
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`
Mistral Small 3.1	Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · `ollama run mistral-small3.1`
Phi-4 Family	Phi-4 (14B) · 9 GB VRAM · Q4_K_M · `ollama run phi4`

Best Use Cases

70B models
MacBook Pro power users
developers

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.3:70b

FAQ

Can the Apple M3 Max run local LLMs?

Yes — the Apple M3 Max has 64 GB unified memory and runs Do 128 GB zunifikowanej pamięci. Bardzo popularny wśród deweloperów AI. 95 t/s na modelach 8B, 28 t/s na modelach 70B. D

How fast is the Apple M3 Max for AI inference?

The Apple M3 Max is estimated to run Llama 3.1 8B at 24–49 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 3.2–6.7 tok/s. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 64 GB VRAM?

With 64 GB you can run: Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.3:70b.

Can I Run It? — Apple M3 Max

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VRAM Tier

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