GPU comparison
MacBook Air M4 (24GB) vs Mac Studio M2 Ultra (192GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 22 tracked models each one can run.
| MacBook Air M4 (24GB) | Mac Studio M2 Ultra (192GB) | |
|---|---|---|
| Memory | 24.0 GB | 192.0 GB |
| Bandwidth | 120 GB/s | 800 GB/s |
| Price (approx) | $1,399 | $5,599 |
| LLMs it runs | 14 of 22 | 20 of 22 |
| Best model it runs | Gemma 4 26B-A4B (MoE) · 20–31 tok/s | Hunyuan Hy3 (MoE) · 48–71 tok/s |
The Mac Studio M2 Ultra (192GB) runs 6 more of the tracked models (20 vs 14), thanks to its 192.0 GB of memory. The Mac Studio M2 Ultra (192GB) has more memory bandwidth (800 GB/s), so it generates tokens faster at the same model and quant.