GPU comparison
MacBook Air/Pro M5 (32GB) vs NVIDIA DGX Spark (GB10, 128GB) 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/Pro M5 (32GB) | NVIDIA DGX Spark (GB10, 128GB) | |
|---|---|---|
| Memory | 32.0 GB | 128.0 GB |
| Bandwidth | 153 GB/s | 273 GB/s |
| Price (approx) | $1,499 | $4,699 |
| LLMs it runs | 47 of 64 | 57 of 64 |
| Best model it runs | Qwen3.8 27B · 9–13 tok/s | Qwen3.8 Flash Next (MoE) · 47–70 tok/s |
The NVIDIA DGX Spark (GB10, 128GB) runs 10 more of the tracked models (57 vs 47), thanks to its 128.0 GB of memory. The NVIDIA DGX Spark (GB10, 128GB) has more memory bandwidth (273 GB/s), so it generates tokens faster at the same model and quant.