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

All hardware / M3 Ultra 256GB

What AI models can the M3 Ultra 256GB run?

With 256 GB unified memory, the M3 Ultra 256GB runs 20 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context). The largest that fit are Qwen3.8-Flash-Next (Q6_K), Qwen3.5 122B-A10B (Q8_0), gpt-oss-120b (Q8_0). Fastest: Gemma 4 E2B at over 150 tokens/sec and Qwen3.6 35B-A3B at over 150 tokens/sec.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB150+ tok/s
Qwen3.6 35B-A3B
MoE · coding
Runs on GPUQ8_038.2 GB150+ tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ8_023.2 GB128 tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB122 tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ8_027.9 GB122 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB103 tok/s
Qwen3.8-Flash-Next
MoE
Runs on GPUQ6_K145.4 GB100 tok/s
gpt-oss-120b
MoE · reasoning
Runs on GPUQ8_0125.4 GB91 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB48 tok/s
Qwen3.5 122B-A10B
MoE
Runs on GPUQ8_0130.9 GB46 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB39 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB31 tok/s
Llama 4 Scout
MoE · vision
Runs on GPUQ8_0117.8 GB27 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ8_027.3 GB19 tok/s
Qwen3.6 27B
coding
Runs on GPUQ8_029.8 GB17 tok/s
Qwen3.8 27B
coding
Runs on GPUQ8_030.6 GB17 tok/s
Granite 4.2 30B
general
Runs on GPUQ8_031.9 GB16 tok/s
Gemma 4 31B
general · vision
Runs on GPUQ8_033.8 GB15 tok/s
Hermes 4.3 36B
general
Runs on GPUQ8_040.5 GB13 tok/s
Llama 3.3 70B
general
Runs on GPUQ8_078.1 GB6.6 tok/s
GLM-5.3-Flash
MoE · coding
Lower quality fitQ3_K_M158.4 GB56 tok/s
DeepSeek V4.1-Flash
MoE · coding
Too bigQ4_K_M335.8 GB—

Specs used: 256 GB unified memory, 819 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 M3 Ultra 256GB