Mac mini M4 Pro 48GB
48 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 @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.3 GB | 120k210k with q8 cache | 6tok/sest. | 57 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 27.9 GB | 126k220k with q8 cache | 6tok/sest. | 57 tok/s | – |
| Gemma 4 31B | Q8_0 | fits | 32.4 GB | 50k96k with q8 cache | 5tok/sest. | 49 tok/s | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 38k59k with q8 cache | 32tok/sest. | 485 tok/s | chat, coding |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 27.9 GB | 126k220k with q8 cache | 6tok/sest. | 57 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.0 GB | 256k | 23tok/sest. | 369 tok/s | chat, coding |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 38k59k with q8 cache | 32tok/sest. | 485 tok/s | chat, coding |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.7 GB | 99k172k with q8 cache | 19tok/sest. | 271 tok/s | chat |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.2 GB | 74k135k with q8 cache | 7tok/sest. | 64 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.3 GB | 235k256k with q8 cache | 31tok/sest. | 505 tok/s | chat, coding |
| Kimi Linear 48B-A3B Moonshot AI | Q5_K_M | fits | 33.4 GB | 197k268k with q8 cache | 47tok/sest. | 461 tok/s | chat, coding |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.1 GB | 128k | 40tok/sest. | 351 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 31.6 GB | 51k92k with q8 cache | 27tok/sest. | 351 tok/s | chat |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.1 GB | 11k21k with q8 cache | 5tok/sest. | 44 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 12.9 GB | 256k | 14tok/sest. | 129 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.8 GB | 256k | 18tok/sest. | 163 tok/s | chat |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.2 GB | 74k128k with q8 cache | 7tok/sest. | 64 tok/s | – |
| Gemma 3 27B | Q8_0 | fits | 28.4 GB | 98k128k with q8 cache | 6tok/sest. | 57 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.1 GB | 11k21k with q8 cache | 5tok/sest. | 46 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.3 GB | 135k247k with q8 cache | 11tok/sest. | 106 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.5 GB | 40k | 10tok/sest. | 98 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 9.9 GB | 128k | 18tok/sest. | 172 tok/s | chat |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 40k | 18tok/sest. | 172 tok/s | chat |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.7 GB | 16k | 10tok/sest. | 99 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.1 GB | 256k | 37tok/sest. | 328 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.1 GB | 194k256k with q8 cache | 17tok/sest. | 161 tok/s | chat |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.6 GB | 128k | 17tok/sest. | 160 tok/s | chat |
| Gemma 4 E4B | Q8_0 | fits | 8.5 GB | 128k | 21tok/sest. | 197 tok/s | chat |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.4 GB | 125k | 73tok/sest. | 1152 tok/s | chat, coding |
| Llama 3.1 8B Meta | Q6_K | fits | 7.8 GB | 128k | 23tok/sest. | 178 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 91.5 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 102.1 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 74.4 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 72.7 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 39.9 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 51.8 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 46.1 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 60.0 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 38.3 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 44.3 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 46.1 GB | – | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 42.7 GB | – | – | – | – |
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
- 48 GB
- GPU can use by default
- 36 GB
- GPU can use, tuned
- 40 GB
- Operating system
- macos
- Processor
- M4 Pro 14-core
- Storage
- 512 GB