GPU comparison
MacBook Pro / Mac mini M5 Pro (48GB) 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 64 tracked models each one can run.
| MacBook Pro / Mac mini M5 Pro (48GB) | NVIDIA RTX 6000 Ada (48GB) | |
|---|---|---|
| Memory | 48.0 GB | 48.0 GB |
| Bandwidth | 307 GB/s | 960 GB/s |
| Price (approx) | $2,299 | $6,800 |
| LLMs it runs | 49 of 64 | 52 of 64 |
| Best model it runs | Qwen3.8 27B · 14–21 tok/s | Qwen3.8 27B · 23–34 tok/s |
The NVIDIA RTX 6000 Ada (48GB) runs 3 more of the tracked models (52 vs 49). With the same nominal memory, more of it is usable for model weights on this architecture. The NVIDIA RTX 6000 Ada (48GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.