GPU comparison
MacBook Pro M4 Pro (24GB) 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 Pro (24GB) | NVIDIA RTX 4080 (16GB) | |
|---|---|---|
| Memory | 24.0 GB | 16.0 GB |
| Bandwidth | 273 GB/s | 717 GB/s |
| Price (approx) | $1,999 | $1,549 |
| LLMs it runs | 29 of 48 | 27 of 48 |
| Best model it runs | Gemma 4 31B · 11–16 tok/s | Gemma 4 26B-A4B (MoE) · 141–212 tok/s |
The MacBook Pro M4 Pro (24GB) runs 2 more of the tracked models (29 vs 27), thanks to its 24.0 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.