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

All hardware / M4 Max 128GB

What AI models can the M4 Max 128GB run?

With 128 GB unified memory, the M4 Max 128GB runs 19 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context). The largest that fit are Qwen3.5 122B-A10B (Q5_K_M), gpt-oss-120b (Q5_K_M), Llama 4 Scout (Q6_K). Fastest: Gemma 4 E2B at about 134 tokens/sec and Qwen3.6 35B-A3B at about 103 tokens/sec.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB134 tok/s
Qwen3.6 35B-A3B
MoE · coding
Runs on GPUQ8_038.2 GB103 tok/s
gpt-oss-120b
MoE · reasoning
Runs on GPUQ5_K_M84.3 GB90 tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ8_023.2 GB86 tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB81 tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ8_027.9 GB81 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB69 tok/s
Qwen3.5 122B-A10B
MoE
Runs on GPUQ5_K_M88.1 GB46 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB32 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB26 tok/s
Llama 4 Scout
MoE · vision
Runs on GPUQ6_K91.4 GB24 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB21 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ8_027.3 GB13 tok/s
Qwen3.6 27B
coding
Runs on GPUQ8_029.8 GB11 tok/s
Qwen3.8 27B
coding
Runs on GPUQ8_030.6 GB11 tok/s
Granite 4.2 30B
general
Runs on GPUQ8_031.9 GB11 tok/s
Gemma 4 31B
general · vision
Runs on GPUQ8_033.8 GB10 tok/s
Hermes 4.3 36B
general
Runs on GPUQ8_040.5 GB8.5 tok/s
Llama 3.3 70B
general
Runs on GPUQ8_078.1 GB4.4 tok/s
Qwen3.8-Flash-Next
MoE
Lower quality fitQ3_K_M87.1 GB112 tok/s
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: 128 GB unified memory, 546 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 128GB