Mac Studio M4 Max 128GB
128 GB unified · 546 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 @64k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q3_K_XL | fits | 86.4 GB | 256k | 7tok/sest. | 49 tok/s | – |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 32.2 GB | 256k | 11tok/sest. | 94 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | fits | 86.6 GB | 101k187k with q8 cache | 11tok/sest. | 90 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q5_K_M | fits | 87.8 GB | 256k | 24tok/sest. | 197 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 31.7 GB | 256k | 11tok/sest. | 94 tok/s | – |
| gpt-oss 120B OpenAI | MXFP4 | fits | 62.3 GB | 128k | 38tok/sest. | 305 tok/s | chat, coding |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 81.5 GB | 256k | 37tok/sest. | 456 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q4_K_M | fits | 78.5 GB | 256k | 24tok/sest. | 229 tok/s | chat, coding |
| Gemma 4 31B | Q8_0 | fits | 37.2 GB | 256k | 9tok/sest. | 86 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 95.0 GB | 100k159k with q8 cache | 29tok/sest. | 193 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.7 GB | 256k | 48tok/sest. | 569 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 31.7 GB | 256k | 11tok/sest. | 94 tok/s | – |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.4 GB | 256k | 37tok/sest. | 582 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q5_K_M | fits | 90.3 GB | 94k128k with q8 cache | 8tok/sest. | 60 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.7 GB | 256k | 48tok/sest. | 569 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 81.5 GB | 256k | 44tok/sest. | 520 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 33.9 GB | 198k | 24tok/sest. | 282 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 34.3 GB | 384k | 10tok/sest. | 93 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.0 GB | 256k | 56tok/sest. | 701 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 50.2 GB | 1024k | 57tok/sest. | 457 tok/s | chat, coding |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.8 GB | 128k | 53tok/sest. | 435 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 37.2 GB | 256k | 22tok/sest. | 204 tok/s | chat, coding |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 49.4 GB | 40k | 7tok/sest. | 48 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 14.1 GB | 256k | 25tok/sest. | 224 tok/s | chat, coding |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.9 GB | 256k | 30tok/sest. | 274 tok/s | chat, coding |
| Gemma 3 27B | Q8_0 | fits | 33.1 GB | 128k | 10tok/sest. | 106 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 34.3 GB | 128k | 10tok/sest. | 93 tok/s | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 49.4 GB | 128k | 7tok/sest. | 60 tok/s | – |
| Llama 3.3 70B Meta | Q8_0 | fits | 90.8 GB | 80k128k with q8 cache | 4tok/sest. | 29 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 24.3 GB | 256k | 14tok/sest. | 131 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 25.6 GB | 40k | 13tok/sest. | 115 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 18.1 GB | 128k | 19tok/sest. | 181 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 18.1 GB | 40k | 19tok/sest. | 181 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 28.0 GB | 16k | 12tok/sest. | 115 tok/s | chat |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 7.2 GB | 256k | 53tok/sest. | 475 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 17.9 GB | 256k | 20tok/sest. | 179 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 19.7 GB | 128k | 18tok/sest. | 166 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 10.4 GB | 128k | 35tok/sest. | 359 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 12.4 GB | 125k | 50tok/sest. | 766 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 15.1 GB | 128k | 23tok/sest. | 195 tok/s | chat, coding |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 96.5 GB | 58k103k with q8 cache | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- Apple M4 Max (40-core GPU)
- Memory bus
- 512-bit
- Memory bandwidth
- 546 GB/s
- FP16 compute
- 16.16 TFLOPS
- Software
- Metal
- Unified memory
- 128 GB
- GPU can use by default
- 96 GB
- GPU can use, tuned
- 120 GB
- Operating system
- macos
- Processor
- M4 Max 16-core
- Storage
- 1000 GB