Will it run? / DeepSeek Coder 6.7B / Mac mini M2 (16GB)

Can the Mac mini M2 (16GB) run DeepSeek Coder 6.7B?

Fast Yes, at about 21 tokens/sec (estimated). Replies stream faster than you can read.

21estimated tokens/sec
5.3 GBmemory needed
10.7 GBavailable to the model
100 GB/smemory bandwidth
ollama run deepseek-coder:6.7b

Check the Mac mini M2 (16GB) price →

How we got this number

Each generated token reads the whole model from memory once: 3.8 GB. The Mac mini M2 (16GB) moves 100 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 Coder 6.7B

Mac Studio M5 Max (40-core GPU, 64GB)120+ tok/s$3,799Check price →
Mac Studio M5 Ultra (96GB)120+ tok/s$5,499Check price →
Mac Studio M5 Ultra (256GB)120+ tok/s$9,499Check price →
Mac mini M5 Pro (24GB)65 tok/s$1,699Check price →

Other models on the Mac mini M2 (16GB)

Qwen3.5 0.8BFast80 tok/s
DeepSeek-R1 1.5BFast73 tok/s
Qwen 1.8BFast73 tok/s
lfm 2.5 8B (A1B)Fast65 tok/s
Llama 3.2 1BFast62 tok/s
Qwen 3 1.7BFast57 tok/s