Apple Mac Studio (M4 Max, 128GB)

macOS

M4 Max with 128GB unified memory (1TB SSD baseline).

From

$3,999

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Buy on Apple

Memory

128 GB

GPUs

1×

RAM

128 GB

Models

Type

Mini

Inference Memory

128 GB

Accelerator

128 GB

System RAM

128 GB

macOS

What it can run

33 models


Arcee Trinity Large Thinking 400B	Q3_K_M	1 tok/s	Not viable
Arcee Trinity Mini 26B	Q8_0	28 tok/s	Good
Arcee Trinity Nano 6B	Q8_0	118 tok/s	Excellent
DeepSeek R1	Q2_K	4 tok/s	Marginal
DeepSeek R1 Distill Qwen 32B	Q5_K_M	16 tok/s	Good
DeepSeek V3	Q2_K	3 tok/s	Marginal
Gemma 3 27B	Q8_0	12 tok/s	Good
Gemma 4 26B-A4B	Q8_0	84 tok/s	Excellent
Gemma 4 31B	Q8_0	12 tok/s	Marginal
Gemma 4 E2B	Q8_0	82 tok/s	Excellent
Gemma 4 E4B	Q8_0	50 tok/s	Good
GigaChat Lightning 10B	Q8_0	72 tok/s	Excellent
Llama 3.1 70B Instruct	Q5_K_M	7 tok/s	Acceptable
Llama 3.2 11B Vision	Q8_0	42 tok/s	Excellent
Llama 3.2 1B Instruct	Q8_0	150 tok/s	Excellent
Llama 3.2 3B Instruct	Q8_0	100 tok/s	Excellent
Llama 3.3 70B Instruct	Q4_K_M	18 tok/s	Acceptable
Llama 4 Scout	Q8_0	4 tok/s	Marginal
Mistral Large 2 123B	Q4_K_M	10 tok/s	Acceptable
NVIDIA Nemotron-3-super-120B-A12B	Q4_K_M	39 tok/s	Excellent
Phi-4 Mini	Q8_0	90 tok/s	Excellent
Qwen 2.5 72B Instruct	Q4_K_M	6 tok/s	Acceptable
Qwen 2.5 Coder 32B Instruct	Q8_0	15 tok/s	Good
Qwen3-30B-A3B	Q8_0	17 tok/s	Acceptable
Qwen3-32B Instruct	Q8_0	14 tok/s	Acceptable
Qwen3.5-122B-A10B	Q8_0	36 tok/s	Excellent
Qwen3.5-27B	Q8_0	16 tok/s	Excellent
Qwen3.5-397B (MoE)	Q2_K	8 tok/s	Marginal
Qwen3.6-27B	Q8_0	16 tok/s	Excellent
Qwen3.6-35B-A3B	Q5_K_M	17 tok/s	Acceptable
QwQ 32B Preview	Q8_0	14 tok/s	Good
Stable Diffusion 3.5 Large	FP16	–	Good
Whisper Large V3 Turbo	FP16	–	Excellent

Showing 33 of 33 entries

Best Fit

Who this machine makes sense for

This machine is a buy-it-ready path for users who want predictable local AI performance without building from parts. 128 GB gives it enough headroom to matter for real model selection, not just toy workloads.

Before You Buy

What to verify first

The main check before buying is upgrade path clarity: confirm memory ceiling, storage expandability, and whether the accelerator path still matches the models you expect to run a year from now.

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