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

All hardware / M4 Pro 48GB

What AI models can the M4 Pro 48GB run?

With 48 GB unified memory, the M4 Pro 48GB 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 (Q6_K), Qwen3.6 35B-A3B (Q6_K), Gemma 4 31B (Q8_0). Fastest: Gemma 4 E2B at about 67 tokens/sec and Qwen3.6 35B-A3B at about 67 tokens/sec.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB67 tok/s
Qwen3.6 35B-A3B
MoE · coding
Runs on GPUQ6_K29.7 GB67 tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ8_023.2 GB43 tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB41 tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ8_027.9 GB41 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB34 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB16 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB13 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB10 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ8_027.3 GB6.4 tok/s
Qwen3.6 27B
coding
Runs on GPUQ8_029.8 GB5.7 tok/s
Qwen3.8 27B
coding
Runs on GPUQ8_030.6 GB5.5 tok/s
Hermes 4.3 36B
general
Runs on GPUQ6_K31.7 GB5.5 tok/s
Granite 4.2 30B
general
Runs on GPUQ8_031.9 GB5.3 tok/s
Gemma 4 31B
general · vision
Runs on GPUQ8_033.8 GB5.0 tok/s
Llama 3.3 70B
general
Lower quality fitIQ2_M26.9 GB6.9 tok/s
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: 48 GB unified memory, 273 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 Pro 48GB