GPU comparison
MacBook Air/Pro M5 (16GB) vs NVIDIA RTX 6000 Ada (48GB) 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 6000 Ada (48GB) | |
|---|---|---|
| Memory | 16.0 GB | 48.0 GB |
| Bandwidth | 153 GB/s | 960 GB/s |
| Price (approx) | $1,099 | $6,800 |
| LLMs it runs | 13 of 34 | 26 of 34 |
| Best model it runs | Devstral Small 2 24B · 10–15 tok/s | Gemma 4 31B · 20–30 tok/s |
The NVIDIA RTX 6000 Ada (48GB) runs 13 more of the tracked models (26 vs 13), thanks to its 48.0 GB of memory. The NVIDIA RTX 6000 Ada (48GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.