GPU comparison
MacBook Pro M5 Max (128GB) vs NVIDIA RTX 5060 Ti (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 34 tracked models each one can run.
| MacBook Pro M5 Max (128GB) | NVIDIA RTX 5060 Ti (16GB) | |
|---|---|---|
| Memory | 128.0 GB | 16.0 GB |
| Bandwidth | 614 GB/s | 448 GB/s |
| Price (approx) | $5,099 | $549 |
| LLMs it runs | 30 of 34 | 18 of 34 |
| Best model it runs | Gemma 4 31B · 14–22 tok/s | Gemma 4 26B-A4B (MoE) · 103–155 tok/s |
The MacBook Pro M5 Max (128GB) runs 12 more of the tracked models (30 vs 18), thanks to its 128.0 GB of memory. The MacBook Pro M5 Max (128GB) has more memory bandwidth (614 GB/s), so it generates tokens faster at the same model and quant.