GPU comparison
MacBook Air/Pro M4 (16GB) vs NVIDIA RTX 4060 Ti (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 48 tracked models each one can run.
| MacBook Air/Pro M4 (16GB) | NVIDIA RTX 4060 Ti (16GB) | |
|---|---|---|
| Memory | 16.0 GB | 16.0 GB |
| Bandwidth | 120 GB/s | 288 GB/s |
| Price (approx) | $1,199 | $449 |
| LLMs it runs | 19 of 48 | 27 of 48 |
| Best model it runs | Devstral Small 2 24B · 8–12 tok/s | Gemma 4 26B-A4B (MoE) · 74–110 tok/s |
The NVIDIA RTX 4060 Ti (16GB) runs 8 more of the tracked models (27 vs 19). With the same nominal memory, more of it is usable for model weights on this architecture. The NVIDIA RTX 4060 Ti (16GB) has more memory bandwidth (288 GB/s), so it generates tokens faster at the same model and quant.