Updated September 2026

Mac Studio M5 Max 128GB Integrated memory 128GB · Usable space for model approximately 114GB

The latest M5 Max desktop configuration with large model payload and high sustained bandwidth.

Speed and memory for the same model

Studio M5 Max 128GB · Qwen3.8 27B · local LLM speed and memory: Prompt processing · prefill 475–884 tok/s · Token generation · decode 48.5–86.3 tok/s; Required 19.36GB / Usable 114GB unified memory
4,096 input tokens · single request · prompt cache off

Hardware core specifications

Available memory
114GB
Memory bandwidth
614GB/s
Estimated sustained LLM load
About 165W
Korean price range (KRW)
922 × KRW 10,000–1,050 × KRW 10,000

Who it fits

  • Utilizes 114GB of available memory
  • Quiet finished product composition
  • Qwen3.8-Flash-Next level local inference

Skip it if

Unified memory is advantageous for loading large models, but CUDA-specific tools and multi-GPU workflows should be explored separately.

Recommended format for each device 4K input

The model you will experience with this equipment

K2 Horizon 0.9B

Required 1.03GB · spare time

MLX 4-bit

Decode

857.3 ~ 950 tok/s

First token

0.41 to 0.80 seconds

Qwen3.8-Flash-Next

recommended

Required 107.13GB · titration

MLX 4-bit

Decode

38.5 ~ 54 tok/s

First token

3.9 ~ 7.8 s

speed tuning

Actual speed varies with runtime version, cooling, context length and quantization file.

On sales pages, look at memory before chips.

The model and speed assumptions above change if the product is not the 128GB configuration.

Frequently asked questions

Which local LLM can be run on the Studio M5 Max 128GB?
K2 Horizon 0.9B, Qwen3.8-Flash-Next and others with a 4K input and the recommended format. Required memory varies by model and context length.
What is the local LLM computing power of the Studio M5 Max 128GB?
Sustained load is about 165 W, with an actual range of 115–230 W.
Are the displayed token speeds ground truth?
This is a range aligned to collected benchmark measurements under the same conditions. Combinations without a matching measurement are estimated from the nearest result and vary with runtime, cooling, quantization file and context length.