GPU & Apple Silicon Comparison for LLMs
Every GPU and Apple Silicon device we track for local language-model inference, side by side. Compare VRAM, memory bandwidth, power draw, price, and the largest model each can run at Q4_K_M. Use the VRAM calculator to match a specific model to hardware.
| Device | VRAM | Price | Buy |
|---|---|---|---|
| Apple Mac Studio (M4 Max, 128GB) Apple Silicon | 128 GB | — | Amazon |
| NVIDIA DGX Spark NVIDIA | 128 GB | $3,000 | Amazon |
| GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB) Mini PC 96–128 GB unified at ~256 GB/s. Q4: dense 70B fits and is slow (~5 tok/s class); Qwen3.8-Flash-Next MoE fits; DeepSeek-V4-Flash only at an aggressive sub-Q4 quant (~155 GB at a normal 4-bit). Not CUDA. | 128 GB | $3,649.99 | Amazon |
| Beelink GTR9 Pro (128GB) — caution Mini PC Same Q4 fit as the EVO-X2: 128 GB at ~256 GB/s. DeepSeek-V4-Flash only aggressive; Qwen3.8-Flash-Next MoE; dense 70B Q4 slow. Not the default Halo buy. | 128 GB | $4,349 | Amazon (caveat) |
| Beelink GTR9 Pro (128GB, OOS watchlist) Mini PC Same 96–128 GB at ~256 GB/s tier when stocked. Not a buy: unavailable on 2026-10-01, 3.4 stars from 20 product-specific ratings, repeated 10GbE failures. | 128 GB | — | — |
| Apple Mac Studio (M4 Max, 64GB) Apple Silicon | 64 GB | — | Amazon |
| Apple Mac mini (M4 Pro, 48GB) Apple Silicon | 48 GB | — | Amazon |
| Apple Mac Studio (M5 Max, 36GB) Apple Silicon | 36 GB | $2,449 | Amazon |
| NVIDIA GeForce RTX 5090 (32GB) NVIDIA | 32 GB | $7,398 | Amazon |
| NVIDIA GeForce RTX 4090 (24GB) NVIDIA | 24 GB | $1,599 | Amazon |
| AMD Radeon RX 7900 XTX (24GB) AMD | 24 GB | $799 | Amazon |
| NVIDIA GeForce RTX 3090 (24GB) NVIDIA | 24 GB | $499 | Amazon |
| Apple Mac mini (M5 Pro, 24GB) Apple Silicon | 24 GB | $1,669.99 | Amazon |
| Apple Mac mini (M4 Pro, 24GB) Apple Silicon | 24 GB | $1,569.99 | Amazon |
| Apple Mac mini (M4, 24GB) Apple Silicon | 24 GB | — | Amazon |
| NVIDIA RTX 5080 (16GB) NVIDIA | 16 GB | $1,809.86 | Amazon |
| NVIDIA RTX 5070 Ti (16GB) NVIDIA | 16 GB | $1,490 | Amazon |
| NVIDIA RTX 4080 (16GB) NVIDIA | 16 GB | $999 | Amazon |
| NVIDIA RTX 4070 Ti Super (16GB) NVIDIA | 16 GB | $799 | Amazon |
| PNY GeForce RTX 5060 Ti (16GB) NVIDIA | 16 GB | — | Amazon |
| NVIDIA RTX 4060 Ti (16GB) NVIDIA | 16 GB | $629.99 | Amazon |
| Apple Mac mini (M4, 16GB) Apple Silicon | 16 GB | — | Amazon |
| NVIDIA RTX 5070 (12GB) NVIDIA | 12 GB | $937.39 | Amazon |
| NVIDIA GeForce RTX 4070 (12GB) NVIDIA | 12 GB | $549 | Amazon |
| Intel Arc B580 (12GB) Intel | 12 GB | $249 | Amazon |
| NVIDIA GeForce RTX 4060 (8GB) NVIDIA | 8 GB | $609.99 | Amazon |
Max model size assumes a dense model at Q4_K_M (params × 0.5 + 1.5 GB overhead). That column is a capacity ceiling, not a comfortable speed. Strix Halo rows repeat the practical fit under the device name: 128 GB at ~256 GB/s holds a slow dense 70B Q4 and large MoE quants, not a 200B-class interactive model. Mixture-of-Experts models use total parameters. Prices are indicative MSRP/street and set by the retailer. Full methodology.