GPU comparison
MacBook Pro M5 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 64 tracked models each one can run.
| MacBook Pro M5 Max (128GB) | NVIDIA RTX 4080 (16GB) | |
|---|---|---|
| Memory | 128.0 GB | 16.0 GB |
| Bandwidth | 614 GB/s | 717 GB/s |
| Price (approx) | $5,099 | $1,549 |
| LLMs it runs | 57 of 64 | 45 of 64 |
| Best model it runs | Qwen3.8 Flash Next (MoE) · 79–118 tok/s | Qwen3.8 27B · 42–63 tok/s |
The MacBook Pro M5 Max (128GB) runs 12 more of the tracked models (57 vs 45), 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.