Mac mini M4 Pro 64GB vs AMD Radeon AI PRO R9700
For running models locally, priced in the US. At 8k context the first runs 65 models fully in memory, the second 58.
In short
The Mac mini M4 Pro 64GB has more memory for models: 64 GB against 32 GB. At 8k context the Mac mini M4 Pro 64GB runs 65 of the models we track fully in memory and the AMD Radeon AI PRO R9700 58; only the Mac mini M4 Pro 64GB holds Qwen 3.5 122B-A10B. On the models both run fully in memory, the AMD Radeon AI PRO R9700 is about 2.0× as fast as the Mac mini M4 Pro 64GB (estimated, median across models). In the US the Mac mini M4 Pro 64GB costs $2,600 at eBay and the AMD Radeon AI PRO R9700 $1,900 at Amazon: the AMD Radeon AI PRO R9700 is $700 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Mac mini M4 Pro 64GB | AMD Radeon AI PRO R9700 |
|---|---|---|
| Chip | Apple M4 Pro (20-core GPU) | – |
| Memory bus | 256-bit | 256-bit |
| Memory bandwidth | 273 GB/s | 640 GB/s |
| FP16 compute | 8.08 TFLOPS | 191 TFLOPS |
| Software | Metal | ROCm |
| Unified memory | 64 GB | – |
| GPU can use by default | 48 GB | – |
| GPU can use, tuned | 56 GB | – |
| Operating system | macos | – |
| Processor | M4 Pro 14-core | – |
| Storage | 1000 GB | – |
| GPU | – | Radeon AI PRO R9700 |
| Memory | – | 32 GB GDDR6 |
| Board power | – | 300 W |
| PCIe generation | – | Gen 5 |
| PCIe lanes | – | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Mac mini M4 Pro 64GB | AMD Radeon AI PRO R9700 |
|---|---|---|
| Qwen 3.8 27B | 6tok/sQ8_0 | 12tok/sQ8_0 |
| Qwen 3.5 122B-A10B | 29tok/sUD-Q2_K_XL | offload |
| Qwen 3.6 27B | 6tok/sQ8_0 | 12tok/sQ8_0 |
| Qwen3 Coder Next | 40tok/sQ4_K_M | offload |
| Gemma 4 31B | 5tok/sQ8_0 | 13tok/sQ6_K |
| Mistral Small 4 119B | 42tok/sUD-Q2_K_XL | offload |
| Qwen 3.6 35B-A3B | 32tok/sQ8_0 | 75tok/sQ6_K |
| Qwen 3.5 27B | 6tok/sQ8_0 | 12tok/sQ8_0 |
| Gemma 4 26B-A4B | 23tok/sQ8_0 | 47tok/sQ8_0 |
| GLM 4.5 Air | 15tok/sQ2_K | offload |
| Qwen3 Next 80B-A3B | 52tok/sQ4_K_M | offload |
| Qwen 3.5 35B-A3B | 32tok/sQ8_0 | 80tok/sQ6_K |
| GLM 4.7 Flash | 19tok/sQ8_0 | 37tok/sQ8_0 |
| Devstral Small 2 24B | 7tok/sQ8_0 | 13tok/sQ8_0 |
| Nemotron 3.5 Lightning 30B-A3B | 31tok/sUD-Q6_K_XL | 71tok/sUD-Q5_K_M |
| Kimi Linear 48B-A3B | 41tok/sQ6_K | 109tok/sQ4_K_M |
| gpt-oss 20B | 40tok/sMXFP4 | 80tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 27tok/sQ8_0 | 65tok/sQ6_K |
| Qwen3 32B | 5tok/sQ8_0 | 12tok/sQ6_K |
| Gemma 4 12B | 14tok/sQ8_0 | 27tok/sQ8_0 |
| Qwen 3.5 9B | 18tok/sQ8_0 | 36tok/sQ8_0 |
| Mistral Small 3.2 24B | 7tok/sQ8_0 | 13tok/sQ8_0 |
| Gemma 3 27B | 6tok/sQ8_0 | 12tok/sQ8_0 |
| DeepSeek R1 Distill Qwen 32B | 5tok/sQ8_0 | 12tok/sQ6_K |
| Llama 3.3 70B | 4tok/sQ4_K_M | offload |
| Ministral 3 14B | 11tok/sQ8_0 | 22tok/sQ8_0 |
| Qwen3 14B | 10tok/sQ8_0 | 21tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 18tok/sQ8_0 | 36tok/sQ8_0 |
| Qwen3 8B | 18tok/sQ8_0 | 36tok/sQ8_0 |
| Phi-4 14B | 10tok/sQ8_0 | 20tok/sQ8_0 |
| Qwen 3.5 4B | 37tok/sQ8_0 | 73tok/sQ8_0 |
| Ministral 3 8B | 17tok/sQ8_0 | 35tok/sQ8_0 |
| Granite 4.2 8B | 17tok/sQ8_0 | 33tok/sQ8_0 |
| Gemma 4 E4B | 21tok/sQ8_0 | 42tok/sQ8_0 |
| LFM2.5 8B-A1B | 73tok/sQ8_0 | 144tok/sQ8_0 |
| Llama 3.1 8B | 23tok/sQ6_K | 46tok/sQ6_K |
| Qwen2.5 0.5B | 281tok/sQ8_0 | 557tok/sQ8_0 |
| Qwen3.5 0.8B | 191tok/sQ8_0 | 378tok/sQ8_0 |
| Qwen3.5 2B | 114tok/sQ5_K_M | 226tok/sQ5_K_M |
| DeepSeek R1 Distill Qwen 1.5B | 83tok/sQ8_0 | 165tok/sQ8_0 |
| MiniCPM5 2B | 59tok/sQ8_0 | 116tok/sQ8_0 |
| LFM2.5 2.6B | 53tok/sQ8_0 | 104tok/sQ8_0 |
| LFM2.5 VL 3B | 53tok/sQ8_0 | 104tok/sQ8_0 |
| Spark X2.5 4B | 52tok/smlx-4bit | 104tok/smlx-4bit |
| granite vision 4.1 4b | 41tok/sQ8_0 | 82tok/sQ8_0 |
| granite 4.2 3b | 39tok/sQ8_0 | 77tok/sQ8_0 |
| LFM2.5 24B A2B | 38tok/sQ8_0 | 76tok/sQ8_0 |
| Mellum2.1 12B A2.5B Thinking | 38tok/sQ8_0 | 75tok/sQ8_0 |
| FrogNano 4B 2609 | 36tok/sQ8_0 | 71tok/sQ8_0 |
| Kimi VL A3B Thinking 2506 | 32tok/sQ8_0 | 63tok/sQ8_0 |
| Kimi VL A3B | 30tok/smlx-8bit | 60tok/smlx-8bit |
| DeepSeek R1 Distill Qwen 7B | 21tok/sQ8_0 | 41tok/sQ8_0 |
| GLM 4 9B 0414 | 21tok/smlx-5bit | 41tok/smlx-5bit |
| DeepSeek R1 Distill Llama 8B | 19tok/sQ8_0 | 37tok/sQ8_0 |
| Ministral 3 8B Reasoning 2512 | 17tok/sQ8_0 | 35tok/sQ8_0 |
| GLM 4.6V Flash | 17tok/sQ8_0 | 34tok/sQ8_0 |
| GLM 4.1V 9B Thinking | 15tok/smlx-8bit | 29tok/smlx-8bit |
| DeepSeek R1 Distill Qwen 14B | 10tok/sQ8_0 | 20tok/sQ8_0 |
| Qwen3.8 27B OBLITERATED | 8tok/smlx-4bit | 17tok/smlx-4bit |
| Devstral Small 2507 | 7tok/sQ8_0 | 13tok/sQ8_0 |
| Magistral Small 2506 | 7tok/sQ8_0 | 13tok/sQ8_0 |
| Magistral Small 2507 | 7tok/sQ8_0 | 13tok/sQ8_0 |
| Magistral Small 2509 | 7tok/sQ8_0 | 13tok/sQ8_0 |
| granite 4.2 30b | 5tok/sQ8_0 | 13tok/sQ6_K |
| DeepSeek R1 Distill Llama 70B | 4tok/sQ4_K_M | offload |
| Nemotron 3 Super 120B-A12B | won't run | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| DeepSeek R1 | won't run | won't run |
| DeepSeek R1 0528 | won't run | won't run |
| DeepSeek R1 Zero | won't run | won't run |
| DeepSeek V3 | won't run | won't run |
| DeepSeek V3 0324 | won't run | won't run |
| DeepSeek V3.1 | won't run | won't run |
| DeepSeek V3.1 Terminus | won't run | won't run |
| DeepSeek V3.2 | won't run | won't run |
| DeepSeek V4 Flash 0731 | won't run | won't run |
| DeepSeek V4 Flash Vision Exp | won't run | won't run |
| Devstral 2 123B Instruct 2512 | won't run | won't run |
| GLM 4.5 | won't run | won't run |
| GLM 4.5V | won't run | won't run |
| GLM 4.6 | won't run | won't run |
| GLM 4.6V | won't run | won't run |
| GLM 4.7 | won't run | won't run |
| GLM 5 | won't run | won't run |
| GLM 5.1 | won't run | won't run |
| GLM 5.2 | won't run | won't run |
| GLM 5.3 | won't run | won't run |
| Kimi Dev 72B | won't run | won't run |
| Kimi K2 | won't run | won't run |
| Kimi K2 Instruct 0905 | won't run | won't run |
| Kimi K2 Thinking | won't run | won't run |
| Kimi K2.5 | won't run | won't run |
| MiniMax M2 | won't run | won't run |
| MiniMax M2.1 | won't run | won't run |
| MiniMax M2.5 | won't run | won't run |
| MiniMax M3 | won't run | won't run |
| Mistral Medium 3.5 128B | won't run | won't run |
Questions
- Which is better for local AI, the Mac mini M4 Pro 64GB or the AMD Radeon AI PRO R9700?
- Choose the Mac mini M4 Pro 64GB to run bigger models. Choose the AMD Radeon AI PRO R9700 for speed. Choose the AMD Radeon AI PRO R9700 to spend less.
- Which can run bigger models, the Mac mini M4 Pro 64GB or the AMD Radeon AI PRO R9700?
- At 8k context the Mac mini M4 Pro 64GB runs 65 of the models we track fully in memory and the AMD Radeon AI PRO R9700 58; only the Mac mini M4 Pro 64GB holds Qwen 3.5 122B-A10B.
- Which is faster for local AI, the Mac mini M4 Pro 64GB or the AMD Radeon AI PRO R9700?
- On the models both run fully in memory, the AMD Radeon AI PRO R9700 is about 2.0× as fast as the Mac mini M4 Pro 64GB (estimated, median across models).
- What is the price difference between the Mac mini M4 Pro 64GB and the AMD Radeon AI PRO R9700?
- In the US the Mac mini M4 Pro 64GB costs $2,600 at eBay and the AMD Radeon AI PRO R9700 $1,900 at Amazon: the AMD Radeon AI PRO R9700 is $700 cheaper.
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