GPU comparison
MacBook Pro M5 Max (36GB) 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 Pro M5 Max (36GB) | NVIDIA DGX Spark (GB10, 128GB) | |
|---|---|---|
| Memory | 36.0 GB | 128.0 GB |
| Bandwidth | 460 GB/s | 273 GB/s |
| Price (approx) | $3,599 | $4,699 |
| LLMs it runs | 47 of 64 | 57 of 64 |
| Best model it runs | Qwen3.8 27B · 13–20 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 MacBook Pro M5 Max (36GB) has more memory bandwidth (460 GB/s), so it generates tokens faster at the same model and quant.