GPU comparison
MacBook Air / Mac mini M4 (24GB) vs Mac mini M6 (16GB) 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 Air / Mac mini M4 (24GB) | Mac mini M6 (16GB) | |
|---|---|---|
| Memory | 24.0 GB | 16.0 GB |
| Bandwidth | 120 GB/s | 153 GB/s |
| Price (approx) | $1,399 | $899 |
| LLMs it runs | 45 of 64 | 27 of 64 |
| Best model it runs | Qwen3.8 27B · 7–10 tok/s | Devstral Small 2 24B · 10–15 tok/s |
The MacBook Air / Mac mini M4 (24GB) runs 18 more of the tracked models (45 vs 27), thanks to its 24.0 GB of memory. The Mac mini M6 (16GB) has more memory bandwidth (153 GB/s), so it generates tokens faster at the same model and quant.