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MacBook Pro M4 Max 64GB

Apple · M4 Max · 64GB Unified Memory · Can run 63 models

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Manufacturer Apple
Unified Mem 64 GB
Chip M4 Max
CPU Cores 16
GPU Cores 40
Neural Engine 16
Bandwidth 546 GB/s
MSRP $3,999
Released Nov 8, 2024

AI Notes

The MacBook Pro M4 Max 64GB can handle most large language models locally. With 64GB of unified memory and 546 GB/s bandwidth, it runs 70B models with Q4 quantization at impressive speeds. This is one of the most capable portable machines for running production-grade AI models without cloud dependencies.

Compatible Models

Model Parameters Best Quant VRAM Used Fit Est. Speed
Qwen 3 0.6B 600M Q4_K_M 2.5 GB Runs ~218 tok/s
Gemma 3 1B 1B Q8_0 2 GB Runs ~273 tok/s
Llama 3.2 1B 1B Q8_0 3 GB Runs ~182 tok/s
DeepSeek R1 1.5B 1.5B Q8_0 3 GB Runs ~182 tok/s
Gemma 2 2B 2B Q8_0 4 GB Runs ~137 tok/s
Gemma 3n E2B 2B Q4_K_M 3.3 GB Runs ~165 tok/s
Llama 3.2 3B 3B Q8_0 5 GB Runs ~109 tok/s
Phi-3 Mini 3.8B 3.8B Q8_0 5.8 GB Runs ~94 tok/s
Phi-4 Mini 3.8B 3.8B Q4_K_M 4.5 GB Runs ~121 tok/s
Gemma 3 4B 4B Q4_K_M 5 GB Runs ~109 tok/s
Gemma 3n E4B 4B Q4_K_M 4.5 GB Runs ~121 tok/s
Qwen 3 4B 4B Q4_K_M 4.5 GB Runs ~121 tok/s
DeepSeek R1 7B 7B Q8_0 9 GB Runs ~61 tok/s
Falcon 3 7B 7B Q4_K_M 6.8 GB Runs ~80 tok/s
Mistral 7B 7B Q8_0 9 GB Runs ~61 tok/s
Qwen 2.5 7B 7B Q8_0 9 GB Runs ~61 tok/s
Qwen 2.5 Coder 7B 7B Q8_0 9 GB Runs ~61 tok/s
Qwen 2.5 VL 7B 7B Q4_K_M 7 GB Runs ~78 tok/s
Cogito 8B 8B Q4_K_M 7.5 GB Runs ~73 tok/s
DeepSeek R1 8B 8B Q4_K_M 7.5 GB Runs ~73 tok/s
Llama 3.1 8B 8B Q8_0 10 GB Runs ~55 tok/s
Nemotron 3 Nano 8B 8B Q4_K_M 7.5 GB Runs ~73 tok/s
Qwen 3 8B 8B Q4_K_M 7.5 GB Runs ~73 tok/s
Gemma 2 9B 9B Q8_0 11 GB Runs ~50 tok/s
Falcon 3 10B 10B Q4_K_M 8.5 GB Runs ~64 tok/s
Llama 3.2 Vision 11B 11B Q4_K_M 8.5 GB Runs ~64 tok/s
Gemma 3 12B 12B Q4_K_M 10.5 GB Runs ~52 tok/s
Mistral Nemo 12B 12B Q4_K_M 9.5 GB Runs ~57 tok/s
DeepSeek R1 14B 14B Q4_K_M 9.9 GB Runs ~55 tok/s
Phi-4 14B 14B Q4_K_M 9.9 GB Runs ~55 tok/s
Phi-4 Reasoning 14B 14B Q4_K_M 11 GB Runs ~50 tok/s
Qwen 2.5 14B 14B Q4_K_M 9.9 GB Runs ~55 tok/s
Qwen 2.5 Coder 14B 14B Q4_K_M 12 GB Runs ~46 tok/s
Qwen 3 14B 14B Q4_K_M 12 GB Runs ~46 tok/s
StarCoder2 15B 15B Q8_0 17 GB Runs ~32 tok/s
Codestral 22B 22B Q4_K_M 14.7 GB Runs ~37 tok/s
Devstral 24B 24B Q4_K_M 17 GB Runs ~32 tok/s
Magistral Small 24B 24B Q4_K_M 17 GB Runs ~32 tok/s
Mistral Small 3.1 24B 24B Q4_K_M 18 GB Runs ~30 tok/s
Gemma 2 27B 27B Q4_K_M 17.7 GB Runs ~31 tok/s
Gemma 3 27B 27B Q4_K_M 20 GB Runs ~27 tok/s
Qwen 3 30B-A3B (MoE) 30B Q4_K_M 22 GB Runs ~25 tok/s
Cogito 32B 32B Q4_K_M 21.5 GB Runs ~25 tok/s
DeepSeek R1 32B 32B Q4_K_M 20.7 GB Runs ~26 tok/s
Qwen 2.5 32B 32B Q4_K_M 20.7 GB Runs ~26 tok/s
Qwen 2.5 Coder 32B 32B Q4_K_M 23 GB Runs ~24 tok/s
Qwen 3 32B 32B Q4_K_M 23 GB Runs ~24 tok/s
QwQ 32B 32B Q4_K_M 21.5 GB Runs ~25 tok/s
Command R 35B 35B Q4_K_M 22.5 GB Runs ~24 tok/s
Mixtral 8x7B 47B Q4_K_M 29.7 GB Runs ~18 tok/s
Cogito 70B 70B Q4_K_M 43 GB Runs ~13 tok/s
DeepSeek R1 70B 70B Q4_K_M 43.5 GB Runs ~13 tok/s
Llama 3.1 70B 70B Q4_K_M 43.5 GB Runs ~13 tok/s
Llama 3.3 70B 70B Q4_K_M 43.5 GB Runs ~13 tok/s
Qwen 2.5 72B 72B Q4_K_M 44.7 GB Runs ~12 tok/s
Qwen 2.5 VL 72B 72B Q4_K_M 41 GB Runs ~13 tok/s
Llama 3.2 Vision 90B 90B Q4_K_M 50 GB Runs ~11 tok/s
Command R+ 104B 104B Q4_K_M 57 GB Runs (tight) ~10 tok/s
Llama 4 Scout (109B/17B active) 109B Q4_K_M 72 GB CPU Offload ~2 tok/s
Command A 111B 111B Q4_K_M 61 GB CPU Offload ~3 tok/s
Devstral 2 123B 123B Q4_K_M 67 GB CPU Offload ~2 tok/s
Mistral Large 2 123B 123B Q4_K_M 67 GB CPU Offload ~2 tok/s
Mixtral 8x22B 141B Q4_K_M 86 GB CPU Offload ~2 tok/s
6 model(s) are too large for this hardware.