The best local AI on a Apple M2 Max · 64GB right now is DeepSeek-R1 (distill) (70B (Llama) @ Q2_K, ~7–11 tok/s). Full ranking below — capability × real speed on this hardware, never sponsored.
| # | model | best fit | verdict | speed |
|---|---|---|---|---|
| 1 | DeepSeek-R1 (distill) | 70B (Llama) Q2_K | ✅ Runs comfortably | 7–11 tok/s |
| 2 | Qwen3 | 30B-A3B (MoE) Q8_0 | ✅ Runs comfortably | 45–70 tok/s |
| 3 | Llama 3.1 | 70B Q2_K | ✅ Runs comfortably | 7–11 tok/s |
| 4 | Llama 3.3 | 70B Q2_K | ✅ Runs comfortably | 7–11 tok/s |
| 5 | Qwen2.5 | 32B Q5_K_M | ✅ Runs comfortably | 7–12 tok/s |
| 6 | Mixtral 8x7B | 8x7B (MoE) Q5_K_M | ✅ Runs comfortably | 18–30 tok/s |
| 7 | Gemma 4 | 12B Q5_K_M | ✅ Runs comfortably | 16–25 tok/s |
| 8 | Gemma 3 | 27B Q5_K_M | ✅ Runs comfortably | 8–13 tok/s |
| 9 | Mistral Small 3 | 24B Q8_0 | ✅ Runs comfortably | 7–12 tok/s |
| 10 | Phi-4 | 14B Q5_K_M | ✅ Runs comfortably | 15–25 tok/s |
| 11 | Gemma 2 | 27B Q5_K_M | ✅ Runs comfortably | 8–14 tok/s |
| 12 | Mistral Nemo | 12B Q6_K | ✅ Runs comfortably | 17–30 tok/s |
Rankings use the same GQA-aware fit + bandwidth-calibrated speed math as the CLI — no sponsorships, no affiliate re-sorting, ever.
Different machine? Apple M1 · 8GB · Apple M1 Pro · 16GB · Apple M2 · 16GB · Apple M3 Pro · 18GB · Apple M2 Pro · 32GB · Apple M4 Pro · 48GB
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