GPU comparison
MacBook Pro M5 Pro (24GB) vs NVIDIA RTX 5070 (12GB) 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 M5 Pro (24GB) | NVIDIA RTX 5070 (12GB) | |
|---|---|---|
| Memory | 24.0 GB | 12.0 GB |
| Bandwidth | 307 GB/s | 672 GB/s |
| Price (approx) | $2,199 | $629 |
| LLMs it runs | 45 of 64 | 27 of 64 |
| Best model it runs | Qwen3.8 27B · 14–21 tok/s | Devstral Small 2 24B · 45–68 tok/s |
The MacBook Pro M5 Pro (24GB) runs 18 more of the tracked models (45 vs 27), thanks to its 24.0 GB of memory. The NVIDIA RTX 5070 (12GB) has more memory bandwidth (672 GB/s), so it generates tokens faster at the same model and quant.