Mac mini M4 32GB
32 GB unified · 120 GB/s
Prices
Every retailer we track in India, cheapest first. Buy links may earn us a commission.
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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | fits | 20.4 GB | 76k133k with q8 cache | 4tok/sest. | 22 tok/s | – |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | fits | 20.8 GB | 71k125k with q8 cache | 4tok/sest. | 22 tok/s | – |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | fits | 20.7 GB | 72k127k with q8 cache | 4tok/sest. | 22 tok/s | – |
| Gemma 4 26B-A4B | UD-Q4_K_M | fits | 18.2 GB | 185k256k with q8 cache | 11tok/sest. | 135 tok/s | chat |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.8 GB | 128k | 12tok/sest. | 101 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 14.1 GB | 256k | 6tok/sest. | 52 tok/s | – |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.9 GB | 256k | 7tok/sest. | 64 tok/s | – |
| Ministral 3 14B Mistral AI | Q5_K_M | fits | 19.9 GB | 72k132k with q8 cache | 4tok/sest. | 31 tok/s | – |
| Qwen3 14B Alibaba Qwen | Q5_K_M | fits | 20.8 GB | 40k | 4tok/sest. | 27 tok/s | – |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.1 GB | 85k128k with q8 cache | 4tok/sest. | 42 tok/s | – |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.1 GB | 40k | 4tok/sest. | 42 tok/s | – |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.2 GB | 256k | 12tok/sest. | 111 tok/s | chat |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 17.9 GB | 88k160k with q8 cache | 4tok/sest. | 42 tok/s | – |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.7 GB | 74k128k with q8 cache | 4tok/sest. | 39 tok/s | – |
| Gemma 4 E4B | Q8_0 | fits | 10.4 GB | 128k | 8tok/sest. | 84 tok/s | – |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.4 GB | 125k | 11tok/sest. | 178 tok/s | chat |
| Llama 3.1 8B Meta | Q6_K | fits | 15.1 GB | 111k128k with q8 cache | 5tok/sest. | 45 tok/s | – |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.5 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 76.0 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 86.6 GB | – | – | – | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | won't run | 41.6 GB | – | – | – | – |
| Gemma 4 31B | Q4_K_M | won't run | 23.8 GB | 33k67k with q8 cache | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 52.5 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 47.7 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 62.3 GB | – | – | – | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | won't run | 39.8 GB | – | – | – | – |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | won't run | 22.9 GB | 1k | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 54.7 GB | – | – | – | – |
| Devstral Small 2 24B Mistral AI | Q4_K_M | won't run | 24.3 GB | 45k82k with q8 cache | – | – | – |
| GLM 4.7 Flash Z.ai | Q4_K_M | won't run | 21.3 GB | 63k109k with q8 cache | – | – | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | won't run | 22.8 GB | 5k8k with q8 cache | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 47.7 GB | – | – | – | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | won't run | 34.0 GB | – | – | – | – |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | won't run | 29.5 GB | – | – | – | – |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | won't run | 24.3 GB | 34k61k with q8 cache | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 35.4 GB | 8k16k with q8 cache | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 35.5 GB | 8k15k with q8 cache | – | – | – |
| Gemma 3 27B | Q4_K_M | won't run | 21.8 GB | 58k107k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 60.6 GB | – | – | – | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | won't run | 24.3 GB | 45k82k with q8 cache | – | – | – |
| Phi-4 14B Microsoft | Q4_K_M | won't run | 21.8 GB | 16k | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- Apple M4 (10-core GPU)
- Memory bus
- 128-bit
- Memory bandwidth
- 120 GB/s
- FP16 compute
- 3.76 TFLOPS
- Software
- Metal
- Unified memory
- 32 GB
- GPU can use by default
- 21.3 GB
- GPU can use, tuned
- 24 GB
- Operating system
- macos
- Processor
- M4 10-core
- Storage
- 512 GB