GPU comparison
MacBook Pro / Mac mini M5 Pro (24GB) vs NVIDIA RTX 4060 (8GB) 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 / Mac mini M5 Pro (24GB) | NVIDIA RTX 4060 (8GB) | |
|---|---|---|
| Memory | 24.0 GB | 8.0 GB |
| Bandwidth | 307 GB/s | 272 GB/s |
| Price (approx) | $1,699 | $530 |
| LLMs it runs | 45 of 64 | 22 of 64 |
| Best model it runs | Qwen3.8 27B · 14–21 tok/s | Gemma 4 12B · 36–54 tok/s |
The MacBook Pro / Mac mini M5 Pro (24GB) runs 23 more of the tracked models (45 vs 22), thanks to its 24.0 GB of memory. The MacBook Pro / Mac mini M5 Pro (24GB) has more memory bandwidth (307 GB/s), so it generates tokens faster at the same model and quant.