large model · Officially released product · Updated 2026-09-06
To pack 70B class into one vehicle. CUDA-specific tools cannot be used.
Mac Studio M4 Max 128GB local LLM large model performance
It is suitable for users who want to compare widely from single finished products to 70B class and high-precision models.
Core specifications
- available memory
- 114GB
- Memory bandwidth
- 546GB/s
- local LLM sustained load
- about 130W
- Korean price range (KRW)
- 780–888 × KRW 10,000
a person who fits well
- 70B class Q4
- Simultaneous storage of multiple models
- Large integrated memory
Check before purchasing
Memory is ample, but tasks that require CUDA-specific tools require separate confirmation.
What tasks is it suitable for?
| task | determination | reason |
|---|---|---|
| 70B conversation | fit | Easy to load the large Q4 model from a single finished product. |
| Documents / RAG | comfortable | Large integrated memory keeps models and cache together. |
| Create image | fit | There is a lot of memory space, but you need to check for CUDA-only nodes. |
Configuration Selection Criteria
The first bottleneck encountered
It is strong for loading large models, but has fewer options for tasks that require a CUDA-specific kernel and multi-GPU scalability.
Recommended purchase setup
M4 Max · Integrated memory 128GB · SSD 1TB or more
Criteria for spending more money
It is worth considering if you want to put a 70B class model in one vehicle. If you only use 35B or less, M4 Pro 48GB is economical.
4K context · Q4 model-specific expected performance
| Model | required memory | Decode | First token | Prefill |
|---|---|---|---|---|
| Gemma 4 12B MLX 4-bit | 8GB | 57.2 ~ 63.4 tok/s | 4.3 ~ 8.3 s | 496 ~ 959 tok/s |
| Qwen3.8-Flash-Next MLX 4-bit | 107.13GB | 22 ~ 42.9 tok/s | 4.4 ~ 8.6 s | 479 ~ 936 tok/s |
Single-user expected range and may vary depending on runtime, cooling, and quantization files.
Frequently Asked Questions
Which local LLM can be run on the Studio M4 Max 128GB?
Gemma 4 12B, Qwen3.8-Flash-Next, and others can be compared with 4K input and device-specific recommended formats. The required memory varies depending on the model and context length.
What is the local LLM computing power of the Studio M4 Max 128GB?
Expected to draw approximately 130W under sustained load, with an actual range estimated between 95–165W.
Are the displayed token speeds ground truth?
This is an estimated range calibrated to the calculator against official hardware specifications and verified benchmark ranges. Runtime, cooling, quantization may vary depending on file and context length.