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Mac Studio M4 Max 36GB

Apple · M4 Max · 36GB Unified Memory · Can run 91 models

BuyApple
ManufacturerApple
Unified Mem36 GB
ChipM4 Max
CPU Cores14
GPU Cores30
Neural Engine16
Bandwidth546 GB/s
MSRP$1,999
ReleasedMar 12, 2025

AI Notes

The Mac Studio M4 Max 36GB delivers incredible bandwidth at 546 GB/s, making smaller models fly. It runs 13B models at very fast speeds and can handle 30B models at moderate-to-fast speeds. The 36GB memory limits larger models, but the bandwidth advantage makes it excellent for smaller model inference.

Compatible Models

ModelParametersBest QuantVRAM UsedFitEst. Speed
Qwen 3 0.6B600MQ4_K_M2.5 GBRuns~218 tok/s
Qwen 3.5 0.8B800MQ4_K_M1.5 GBRuns~364 tok/s
Gemma 3 1B1BQ8_02 GBRuns~273 tok/s
Llama 3.2 1B1BQ8_03 GBRuns~182 tok/s
DeepSeek R1 1.5B1.5BQ8_03 GBRuns~182 tok/s
SmolLM2 1.7B1.7BQ8_02.7 GBRuns~202 tok/s
Gemma 2 2B2BQ8_04 GBRuns~137 tok/s
Gemma 3n E2B2BQ4_K_M3.3 GBRuns~165 tok/s
Gemma 4 E2B2BQ4_K_M4 GBRuns~137 tok/s
Qwen 3.5 2B2BQ4_K_M3 GBRuns~182 tok/s
Llama 3.2 3B3BQ8_05 GBRuns~109 tok/s
StarCoder2 3B3BQ4_K_M3.5 GBRuns~156 tok/s
Phi-3 Mini 3.8B3.8BQ8_05.8 GBRuns~94 tok/s
Phi-4 Mini 3.8B3.8BQ4_K_M4.5 GBRuns~121 tok/s
Gemma 3 4B4BQ4_K_M5 GBRuns~109 tok/s
Gemma 3n E4B4BQ4_K_M4.5 GBRuns~121 tok/s
Gemma 4 E4B4BQ4_K_M6 GBRuns~91 tok/s
Qwen 3 4B4BQ4_K_M4.5 GBRuns~121 tok/s
Qwen 3.5 4B4BQ4_K_M4.5 GBRuns~121 tok/s
Yi 1.5 6B6BQ4_K_M5 GBRuns~109 tok/s
Codestral Mamba 7B7BQ4_K_M6.9 GBRuns~79 tok/s
DeepSeek R1 7B7BQ8_09 GBRuns~61 tok/s
Falcon 3 7B7BQ4_K_M6.8 GBRuns~80 tok/s
InternLM 2.5 7B7BQ4_K_M5.5 GBRuns~99 tok/s
Mistral 7B7BQ8_09 GBRuns~61 tok/s
OpenChat 3.5 7B7BQ4_K_M6.9 GBRuns~79 tok/s
Qwen 2.5 7B7BQ8_09 GBRuns~61 tok/s
Qwen 2.5 Coder 7B7BQ8_09 GBRuns~61 tok/s
Qwen 2.5 VL 7B7BQ4_K_M7 GBRuns~78 tok/s
StarCoder2 7B7BQ4_K_M5.5 GBRuns~99 tok/s
WizardLM 2 7B7BQ4_K_M6.9 GBRuns~79 tok/s
Aya Expanse 8B8BQ4_K_M6.5 GBRuns~84 tok/s
Cogito 8B8BQ4_K_M7.5 GBRuns~73 tok/s
DeepSeek R1 8B8BQ4_K_M7.5 GBRuns~73 tok/s
Dolphin 3 8B8BQ4_K_M6 GBRuns~91 tok/s
Granite 3.3 8B8BQ8_010 GBRuns~55 tok/s
Llama 3.1 8B8BQ8_010 GBRuns~55 tok/s
Nemotron 3 Nano 8B8BQ4_K_M7.5 GBRuns~73 tok/s
Nous Hermes 2 8B8BQ4_K_M6 GBRuns~91 tok/s
Qwen 3 8B8BQ4_K_M7.5 GBRuns~73 tok/s
Gemma 2 9B9BQ8_011 GBRuns~50 tok/s
Qwen 3.5 9B9BQ4_K_M7.5 GBRuns~73 tok/s
Yi 1.5 9B9BQ4_K_M6.5 GBRuns~84 tok/s
Yi Coder 9B9BQ4_K_M8 GBRuns~68 tok/s
Falcon 3 10B10BQ4_K_M8.5 GBRuns~64 tok/s
Llama 3.2 Vision 11B11BQ4_K_M8.5 GBRuns~64 tok/s
Gemma 3 12B12BQ4_K_M10.5 GBRuns~52 tok/s
Mistral Nemo 12B12BQ4_K_M9.5 GBRuns~57 tok/s
DeepSeek R1 14B14BQ4_K_M9.9 GBRuns~55 tok/s
Phi-4 14B14BQ4_K_M9.9 GBRuns~55 tok/s
Phi-4 Reasoning 14B14BQ4_K_M11 GBRuns~50 tok/s
Qwen 2.5 14B14BQ4_K_M9.9 GBRuns~55 tok/s
Qwen 2.5 Coder 14B14BQ4_K_M12 GBRuns~46 tok/s
Qwen 3 14B14BQ4_K_M12 GBRuns~46 tok/s
StarCoder2 15B15BQ8_017 GBRuns~32 tok/s
InternLM 2.5 20B20BQ4_K_M12 GBRuns~46 tok/s
gpt-oss 20B21BMXFP415 GBRuns~36 tok/s
Codestral 22B22BQ4_K_M14.7 GBRuns~37 tok/s
Devstral 24B24BQ4_K_M17 GBRuns~32 tok/s
Magistral Small 24B24BQ4_K_M17 GBRuns~32 tok/s
Mistral Small 3.1 24B24BQ4_K_M18 GBRuns~30 tok/s
Gemma 4 26B26BQ4_K_M20 GBRuns~27 tok/s
Gemma 2 27B27BQ4_K_M17.7 GBRuns~31 tok/s
Gemma 3 27B27BQ4_K_M20 GBRuns~27 tok/s
Qwen 3.5 27B27BQ4_K_M19 GBRuns~29 tok/s
Qwen 3.6 27B27BQ4_K_M20 GBRuns~27 tok/s
Qwen 3 30B-A3B (MoE)30BQ4_K_M22 GBRuns~25 tok/s
Gemma 4 31B31BQ4_K_M22 GBRuns~25 tok/s
Aya Expanse 32B32BQ4_K_M22 GBRuns~25 tok/s
Cogito 32B32BQ4_K_M21.5 GBRuns~25 tok/s
DeepSeek R1 32B32BQ4_K_M20.7 GBRuns~26 tok/s
Qwen 2.5 32B32BQ4_K_M20.7 GBRuns~26 tok/s
Qwen 2.5 Coder 32B32BQ4_K_M23 GBRuns~24 tok/s
Qwen 3 32B32BQ4_K_M23 GBRuns~24 tok/s
QwQ 32B32BQ4_K_M21.5 GBRuns~25 tok/s
Laguna XS 2.133BQ4_K_M22 GBRuns~25 tok/s
WizardCoder 33B33BQ4_K_M22 GBRuns~25 tok/s
Nous Hermes 2 34B34BQ4_K_M19 GBRuns~29 tok/s
Yi 1.5 34B34BQ4_K_M21 GBRuns~26 tok/s
Command R 35B35BQ4_K_M22.5 GBRuns~24 tok/s
Qwen 3.5 35B A3B35BQ4_K_M12 GBRuns~46 tok/s
Qwen 3.6 35B-A3B35BQ4_K_M27 GBRuns~20 tok/s
Dolphin Mixtral 8x7B47BQ4_K_M26 GBRuns~21 tok/s
Mixtral 8x7B47BQ4_K_M29.7 GBRuns~18 tok/s
Cogito 70B70BQ4_K_M43 GBCPU Offload~4 tok/s
DeepSeek R1 70B70BQ4_K_M43.5 GBCPU Offload~4 tok/s
Llama 3.1 70B70BQ4_K_M43.5 GBCPU Offload~4 tok/s
Llama 3.3 70B70BQ4_K_M43.5 GBCPU Offload~4 tok/s
Qwen 2.5 72B72BQ4_K_M44.7 GBCPU Offload~4 tok/s
Qwen 2.5 VL 72B72BQ4_K_M41 GBCPU Offload~4 tok/s
Llama 3.2 Vision 90B90BQ4_K_M50 GBCPU Offload~3 tok/s
23 model(s) are too large for this hardware.