GPU comparison
MacBook Air/Pro M5 (16GB) vs NVIDIA RTX 5060 Ti (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 34 tracked models each one can run.
| MacBook Air/Pro M5 (16GB) | NVIDIA RTX 5060 Ti (16GB) | |
|---|---|---|
| Memory | 16.0 GB | 16.0 GB |
| Bandwidth | 153 GB/s | 448 GB/s |
| Price (approx) | $1,099 | $549 |
| LLMs it runs | 13 of 34 | 18 of 34 |
| Best model it runs | Devstral Small 2 24B · 10–15 tok/s | Gemma 4 26B-A4B (MoE) · 103–155 tok/s |
The NVIDIA RTX 5060 Ti (16GB) runs 5 more of the tracked models (18 vs 13). With the same nominal memory, more of it is usable for model weights on this architecture. The NVIDIA RTX 5060 Ti (16GB) has more memory bandwidth (448 GB/s), so it generates tokens faster at the same model and quant.