Mac mini M6 16GB Integrated memory 16GB · Usable space for model approximately 13GB
The current 16GB base M6 configuration is intended mainly for 8B to 12B Q4 models.
Hardware core specifications
- available memory
- 13GB
- Memory bandwidth
- 153GB/s
- Estimated sustained LLM load
- About 48W
- Korean price range (KRW)
- 150 × KRW 10,000–184 × KRW 10,000
a person who fits well
- Utilizes 13GB of available memory
- Quiet finished product composition
- Gemma 4 26B-A4B (MoE) class local inference
In this case skip it
Since the operating system and KV cache use the same memory, headroom quickly decreases for long contexts or models above 20B.
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
202.1 ~ 225.2 tok/s
First token
1.1 to 2.7 seconds
Gemma 4 26B-A4B (MoE)
recommendedRequired 15.55GB · tight
MLX 4-bit
Decode
12.3 ~ 19.1 tok/s
First token
4.9 ~ 12.9 s
Actual speed may vary depending on runtime version, cooling status, 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 16GB configuration.
Frequently Asked Questions
- What LLM can be run on the Mac mini M6 16GB?
- You can compare K2 Horizon 0.9B, Gemma 4 26B-A4B (MoE), etc. with 4K input and recommended formats. Memory requirements vary depending on model and context length.
- What is the local LLM power of the Mac mini M6 16GB?
- Expected to be around 48W under sustained load, with an actual range estimated between 30–70W.
- Are the displayed token speeds ground truth?
- These ranges normalize collected benchmark measurements to the same conditions. Only combinations without matching measurements are estimated from nearby measured values. Results can vary by runtime, cooling, model file, and context length.
Equipment to compare together
similar memory
Mac mini M4 16GB
This is the right configuration to minimize costs and start with 8B to 12B models.
similar memory
Mac mini M4 24GB
If you summarize short documents and ask about small sections of code, first check whether the model you plan to use gives useful answers. If a 12B Q4 model does the job, 32GB is worth considering only when your work needs more memory headroom.
similar memory
RTX 3090 24GB
If you own an RTX 3090, first check whether the target model and context fit in 24GB. Newer hardware alone is not a reason to replace a card that completes your work. For a used purchase, include power, cooling, case compatibility and return terms in the cost.