GPU comparison
MacBook Air/Pro M4 (16GB) vs NVIDIA RTX 3060 (12GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 18 tracked models each one can run.
| MacBook Air/Pro M4 (16GB) | NVIDIA RTX 3060 (12GB) | |
|---|---|---|
| Memory | 16.0 GB | 12.0 GB |
| Bandwidth | 120 GB/s | 360 GB/s |
| Price (approx) | $1,199 | $289 |
| LLMs it runs | 10 of 18 | 8 of 18 |
| Best model it runs | GLM-4.7 Flash (MoE) · 43–64 tok/s | Gemma 4 12B · 31–46 tok/s |
The MacBook Air/Pro M4 (16GB) runs 2 more of the tracked models (10 vs 8), thanks to its 16.0 GB of memory. The NVIDIA RTX 3060 (12GB) has more memory bandwidth (360 GB/s), so it generates tokens faster at the same model and quant.