GPU comparison
MacBook Pro M4 Max (128GB) vs NVIDIA RTX 5080 (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 M4 Max (128GB) | NVIDIA RTX 5080 (16GB) | |
|---|---|---|
| Memory | 128.0 GB | 16.0 GB |
| Bandwidth | 546 GB/s | 960 GB/s |
| Price (approx) | $4,699 | $1,399 |
| LLMs it runs | 57 of 64 | 45 of 64 |
| Best model it runs | Qwen3.8 Flash Next (MoE) · 74–110 tok/s | Qwen3.8 27B · 54–82 tok/s |
The MacBook Pro M4 Max (128GB) runs 12 more of the tracked models (57 vs 45), thanks to its 128.0 GB of memory. The NVIDIA RTX 5080 (16GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.