GPU comparison
MacBook Air M4 (24GB) vs Intel Arc B580 (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 Air M4 (24GB) | Intel Arc B580 (12GB) | |
|---|---|---|
| Memory | 24.0 GB | 12.0 GB |
| Bandwidth | 120 GB/s | 456 GB/s |
| Price (approx) | $1,399 | $289 |
| LLMs it runs | 45 of 64 | 27 of 64 |
| Best model it runs | Qwen3.8 27B · 7–10 tok/s | Devstral Small 2 24B · 32–48 tok/s |
The MacBook Air M4 (24GB) runs 18 more of the tracked models (45 vs 27), thanks to its 24.0 GB of memory. The Intel Arc B580 (12GB) has more memory bandwidth (456 GB/s), so it generates tokens faster at the same model and quant.