How we got this number
Each generated token reads the whole model from memory once: 43 GB. The Mac mini M5 Pro (24GB) moves 307 GB/s, so the ceiling is 7.1 tokens/sec. Real machines reach a fraction of that ceiling; we use 80%, calibrated against a measured Mac run. Send us your real numbers and we'll replace the estimate.
Faster machines for DeepSeek-R1 70B
| Mac Studio M5 Ultra (96GB) | 23 tok/s | Check price → |
| Mac Studio M5 Ultra (256GB) | 23 tok/s | Check price → |
| Mac Studio M5 Max (40-core GPU, 64GB) | 11 tok/s | Check price → |
| Mac mini M5 Pro (64GB) | 5.7 tok/s | Check price → |
Other models on the Mac mini M5 Pro (24GB)
| gpt-oss 20B | Fast | 60 tok/s |
| Qwen 3 30B (A3B) | Fast | 43 tok/s |
| Qwen3 Coder 30B (A3B) | Fast | 43 tok/s |
| Gemma 4 26B (A4B) | Fast | 29 tok/s |
| DeepSeek Coder v2 16B | Fast | 28 tok/s |
| DeepSeek-R1 14B | Fast | 27 tok/s |