Mac mini M4 Pro 48GB If you use 27B often, compare the wait with an M4 32GB first.
When you repeatedly read documents and edit code with a 27B model, each wait matters as well as capacity. This page uses the 20-core GPU, 48GB configuration. Distinguish it from less expensive listings with a 16-core GPU.
Speed and memory for the same model
Hardware core specifications
- Available memory
- 41GB
- Memory bandwidth
- 273GB/s
- Estimated sustained LLM load
- About 92W
- Korean price range (KRW)
- 263 × KRW 10,000–344 × KRW 10,000
Who it fits
- Repeated document and coding tasks with 27B
- Run the model alongside work apps
- A Mac setup without PC assembly
Skip it if
If you need to keep using CUDA-only ComfyUI nodes unchanged, look for a supported GPU setup rather than a Mac. Do not choose this machine for 70B solely because it has 48GB either. Account for the model files, input cache, and other apps together.
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
370.9 ~ 412.1 tok/s
First token
0.76 to 1.7 seconds
Qwen3.8 27B
recommendedRequired 17.56GB · spare time
MLX 4-bit
Decode
12.3 ~ 13.7 tok/s
First token
7.8 ~ 14.3 s
K2 Horizon MoVA 36B-A4B
Required 21.94GB · spare time
MLX 4-bit
Decode
83.3 ~ 92.5 tok/s
First token
4.5 to 9.8 seconds
Actual speed varies with runtime version, cooling, context length and quantization file.
purchase judgment
What tasks is it suitable for?
Coding assistance
SuitableCompare a 27B Q4 configuration with the code to edit and the files it needs. A larger model alone does not guarantee more accurate code.
Documents / RAG
SuitableMemory left after loading the model can hold the input cache. When sending a long document at once, check the wait for the first token before focusing on generation speed.
Create image
ConditionalIf you already have a ComfyUI workflow, check support for each node first. Having 48GB does not make CUDA-only nodes compatible.
- The first thing to get stuck
- Reading a long input and generating an answer do not speed up by the same amount. Dividing the Pro's 273GB/s bandwidth by the M4's 120GB/s does not give the speedup for the whole task. Compare the two stages with the same model and input.
- Configuration to check
- M4 Pro · 20-core GPU · 48GB unified memory · 1TB SSD recommended
- Criteria for spending more money
- If you ask short questions with a 12B model and the wait is acceptable, a base M4 may be enough. Judge the price difference only after checking whether the time saved on repeated 27B use or longer inputs matters to your work.
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 Mac mini M4 Pro 48GB?
- K2 Horizon 0.9B, Qwen3.8 27B, 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 Mac mini M4 Pro 48GB?
- Sustained load is about 92 W, with an actual range of 62–122 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.
Equipment to compare together
If the base M4 is enough
Mac mini M4 32GB
Consider this configuration if you want to run 27B Q4 without building a new PC. Moving up makes sense if 24GB was running out of memory. If the model and cache already fit, however, choosing 32GB does not make the chip itself faster.
For CUDA-only nodes
RTX 5090 32GB
Compare this card if you repeatedly generate images or run 27B–35B inference and want shorter waits. But 32GB is still a limit. Buying on compute performance alone, without checking the model, input and image resolution, may leave you offloading again.
When the workload will not fit in 48GB
Studio M4 Max 128GB
Suits people who want to compare a wide range from 70B-class to high-precision models in a single finished machine.