GPU comparison
MacBook Air/Pro / Mac mini M4 (16GB) 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 Air/Pro / Mac mini M4 (16GB) | NVIDIA RTX 4060 (8GB) | |
|---|---|---|
| Memory | 16.0 GB | 8.0 GB |
| Bandwidth | 120 GB/s | 272 GB/s |
| Price (approx) | $1,199 | $530 |
| LLMs it runs | 27 of 64 | 22 of 64 |
| Best model it runs | Devstral Small 2 24B · 8–12 tok/s | Gemma 4 12B · 36–54 tok/s |
The MacBook Air/Pro / Mac mini M4 (16GB) runs 5 more of the tracked models (27 vs 22), thanks to its 16.0 GB of memory. The NVIDIA RTX 4060 (8GB) has more memory bandwidth (272 GB/s), so it generates tokens faster at the same model and quant.