Update 2026.10

MacBook Pro M5 Pro 48GB Integrated memory 48GB · Usable space for model approximately 41GB

The M5 Pro is a balanced configuration that is good for operating 27B~35B models and long contexts on a single laptop.

Speed and memory for the same model

MBP M5 Pro 48GB · Qwen3.8 27B · local LLM speed and memory: Prompt processing · prefill 351–631 tok/s · Token generation · decode 13.9–15.4 tok/s; Required 17.56GB / Usable 41GB unified memory
4,096 input tokens · single request · prompt cache off

Hardware core specifications

Available memory
41GB
Memory bandwidth
307GB/s
Estimated sustained LLM load
About 85W
Korean price range (KRW)
482 × KRW 10,000–557 × KRW 10,000

Who it fits

  • Utilizes 41GB of available memory
  • Quiet finished product composition
  • K2 Horizon MoVA 36B-A4B-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

417.1 ~ 463.4 tok/s

First token

0.62 to 1.3 seconds

K2 Horizon MoVA 36B-A4B

recommended

Required 21.94GB · spare time

MLX 4-bit

Decode

93.7 ~ 104.1 tok/s

First token

3.7 to 8.2 seconds

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 48GB configuration.

Frequently asked questions

What LLM can be run on the MBP M5 Pro 48GB?
K2 Horizon 0.9B, K2 Horizon MoVA 36B-A4B 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 MBP M5 Pro 48GB?
Sustained load is about 85 W, with an actual range of 55–115 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.