Mac mini M4 Pro 64GB
64 GB unified · 273 GB/s
Prices
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No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 36.5 GB | 256k | 5tok/sest. | 40 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | fits | 43.5 GB | 256k | 16tok/sest. | 71 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 36.1 GB | 256k | 5tok/sest. | 40 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 42.5 GB | 193k256k with q8 cache | 4tok/sest. | 38 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | fits | 41.6 GB | 357k568k with q8 cache | 20tok/sest. | 61 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.3 GB | 256k | 18tok/sest. | 193 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 36.1 GB | 256k | 5tok/sest. | 40 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 29.1 GB | 256k | 15tok/sest. | 234 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 38.3 GB | 256k | 18tok/sest. | 193 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 37.6 GB | 198k | 9tok/sest. | 91 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 44.7 GB | 148k270k with q8 cache | 4tok/sest. | 36 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.7 GB | 256k | 26tok/sest. | 260 tok/s | chat, coding |
| Kimi Linear 48B-A3B Moonshot AI | Q6_K | fits | 40.1 GB | 714k973k with q8 cache | 30tok/sest. | 145 tok/s | chat, coding |
| gpt-oss 20B OpenAI | MXFP4 | fits | 15.6 GB | 128k | 19tok/sest. | 152 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 43.6 GB | 172k256k with q8 cache | 7tok/sest. | 56 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 15.5 GB | 256k | 12tok/sest. | 97 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.3 GB | 256k | 13tok/sest. | 116 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 38.5 GB | 128k | 4tok/sest. | 49 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 44.7 GB | 128k | 4tok/sest. | 36 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 34.7 GB | 209k256k with q8 cache | 5tok/sest. | 46 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 36.0 GB | 40k | 5tok/sest. | 39 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 27.5 GB | 128k | 6tok/sest. | 59 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 27.5 GB | 40k | 6tok/sest. | 59 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 40.9 GB | 16k | 4tok/sest. | 39 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.6 GB | 256k | 20tok/sest. | 181 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 26.8 GB | 256k | 7tok/sest. | 60 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 30.1 GB | 128k | 6tok/sest. | 53 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 12.5 GB | 128k | 15tok/sest. | 162 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 15.7 GB | 125k | 14tok/sest. | 217 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 23.5 GB | 128k | 8tok/sest. | 64 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.3 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.1 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 77.9 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.5 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.4 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 49.6 GB | 72k116k with q8 cache | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 64.9 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.6 GB | 27k51k with q8 cache | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 49.6 GB | 73k117k with q8 cache | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 51.8 GB | 40k | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 51.8 GB | 112k128k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.0 GB | 24k45k with q8 cache | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- Apple M4 Pro (20-core GPU)
- Memory bus
- 256-bit
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 8.08 TFLOPS
- Software
- Metal
- 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