RunsLocalGPU checkerLocal AI toolsv1.8 · data Oct 14, 2026

All hardware / M4 Max 36GB

What AI models can the M4 Max 36GB run?

With 36 GB unified memory, the M4 Max 36GB runs 15 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context). The largest that fit are Hermes 4.3 36B (Q4_K_M), Qwen3.6 35B-A3B (Q5_K_M), Gemma 4 31B (Q5_K_M). Fastest: Qwen3.6 35B-A3B at about 115 tokens/sec and Gemma 4 E2B at about 101 tokens/sec.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Qwen3.6 35B-A3B
MoE · coding
Runs on GPUQ5_K_M25.9 GB115 tok/s
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB101 tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ6_K21.8 GB79 tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ8_023.2 GB64 tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB61 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB51 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB24 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB19 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB16 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ6_K21.5 GB13 tok/s
Gemma 4 31B
general · vision
Runs on GPUQ5_K_M23.0 GB11 tok/s
Hermes 4.3 36B
general
Runs on GPUQ4_K_M23.9 GB11 tok/s
Qwen3.6 27B
coding
Runs on GPUQ6_K23.2 GB11 tok/s
Qwen3.8 27B
coding
Runs on GPUQ6_K23.9 GB11 tok/s
Granite 4.2 30B
general
Runs on GPUQ6_K24.8 GB10 tok/s
Llama 3.3 70B
general
Too bigQ4_K_M45.9 GB—
Llama 4 Scout
MoE · vision
Too bigQ4_K_M68.1 GB—
gpt-oss-120b
MoE · reasoning
Too bigQ4_K_M72.0 GB—
Qwen3.5 122B-A10B
MoE
Too bigQ4_K_M75.3 GB—
Qwen3.8-Flash-Next
MoE
Too bigQ4_K_M107.8 GB—
GLM-5.3-Flash
MoE · coding
Too bigQ4_K_M196.0 GB—
DeepSeek V4.1-Flash
MoE · coding
Too bigQ4_K_M335.8 GB—

Specs used: 36 GB unified memory, 410 GB/s memory bandwidth. Speeds are estimates for generating text with llama.cpp-style runtimes; real numbers usually land within about 20%.

Apps that support the M4 Max 36GB