GPU comparison
MacBook Pro M4 Max (128GB) vs NVIDIA RTX 4080 (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 48 tracked models each one can run.
| MacBook Pro M4 Max (128GB) | NVIDIA RTX 4080 (16GB) | |
|---|---|---|
| Memory | 128.0 GB | 16.0 GB |
| Bandwidth | 546 GB/s | 717 GB/s |
| Price (approx) | $4,699 | $1,549 |
| LLMs it runs | 41 of 48 | 27 of 48 |
| Best model it runs | Gemma 4 31B · 13–19 tok/s | Gemma 4 26B-A4B (MoE) · 141–212 tok/s |
The MacBook Pro M4 Max (128GB) runs 14 more of the tracked models (41 vs 27), thanks to its 128.0 GB of memory. The NVIDIA RTX 4080 (16GB) has more memory bandwidth (717 GB/s), so it generates tokens faster at the same model and quant.