Will it run? / DeepSeek-R1 7B / Mac mini M4 (16GB)

Can the Mac mini M4 (16GB) run DeepSeek-R1 7B?

Fast Yes, at about 20 tokens/sec (estimated). Replies stream faster than you can read.

20estimated tokens/sec
6.2 GBmemory needed
10.7 GBavailable to the model
120 GB/smemory bandwidth
ollama run deepseek-r1:7b

Check the Mac mini M4 (16GB) price →

How we got this number

Each generated token reads the whole model from memory once: 4.7 GB. The Mac mini M4 (16GB) moves 120 GB/s, so the ceiling is 26 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 7B

Mac Studio M5 Ultra (96GB)120+ tok/s$5,499Check price →
Mac Studio M5 Ultra (256GB)120+ tok/s$9,499Check price →
Mac Studio M5 Max (40-core GPU, 64GB)105 tok/s$3,799Check price →
Mac mini M5 Pro (24GB)52 tok/s$1,699Check price →

Other models on the Mac mini M4 (16GB)

Qwen3.5 0.8BFast96 tok/s
DeepSeek-R1 1.5BFast87 tok/s
Qwen 1.8BFast87 tok/s
lfm 2.5 8B (A1B)Fast78 tok/s
Llama 3.2 1BFast74 tok/s
Qwen 3 1.7BFast69 tok/s