Mac Studio M3 Ultra 96GB
96 GB unified · 819 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 | 256k | 18tok/sest. | 196 tok/s | chat |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q3_K_M | fits | 53.5 GB | 256k | 66tok/sest. | 518 tok/s | chat, coding |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 27.9 GB | 256k | 18tok/sest. | 196 tok/s | chat |
| gpt-oss 120B OpenAI | MXFP4 | fits | 60.0 GB | 128k | 93tok/sest. | 879 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q6_K | fits | 62.0 GB | 256k | 92tok/sest. | 1309 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q3_K_M | fits | 58.3 GB | 256k | 51tok/sest. | 457 tok/s | chat, coding, long documents |
| Gemma 4 31B | Q8_0 | fits | 32.4 GB | 256k | 16tok/sest. | 171 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q4_K_M | fits | 69.5 GB | 97k154k with q8 cache | 70tok/sest. | 677 tok/s | chat, coding |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 256k | 97tok/sest. | 1679 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 27.9 GB | 256k | 18tok/sest. | 196 tok/s | chat |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.0 GB | 256k | 70tok/sest. | 1279 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q4_K_M | fits | 70.0 GB | 18k33k with q8 cache | 25tok/sest. | 258 tok/s | chat |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q6_K | fits | 61.9 GB | 256k | 119tok/sest. | 1646 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.2 GB | 256k | 97tok/sest. | 1679 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 30.7 GB | 198k | 56tok/sest. | 940 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.2 GB | 296k384k with q8 cache | 20tok/sest. | 221 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.3 GB | 256k | 93tok/sest. | 1749 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.1 GB | 128k | 121tok/sest. | 1215 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 49.4 GB | 1024k | 97tok/sest. | 1596 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 31.6 GB | 256k | 80tok/sest. | 1215 tok/s | chat, coding, agents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.1 GB | 40k | 14tok/sest. | 151 tok/s | – |
| Gemma 4 12B | Q8_0 | fits | 12.9 GB | 256k | 41tok/sest. | 446 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 9.8 GB | 256k | 54tok/sest. | 564 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.2 GB | 128k | 20tok/sest. | 221 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 28.4 GB | 128k | 18tok/sest. | 199 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.1 GB | 128k | 14tok/sest. | 158 tok/s | – |
| Llama 3.3 70B Meta | Q5_K_M | fits | 49.7 GB | 78k128k with q8 cache | 10tok/sest. | 74 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.3 GB | 256k | 34tok/sest. | 366 tok/s | chat, coding |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 16.5 GB | 40k | 31tok/sest. | 341 tok/s | chat, coding |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 9.9 GB | 128k | 54tok/sest. | 596 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 9.9 GB | 40k | 54tok/sest. | 596 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q8_0 | fits | 16.7 GB | 16k | 31tok/sest. | 343 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.1 GB | 256k | 111tok/sest. | 1136 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.1 GB | 256k | 52tok/sest. | 557 tok/s | chat, coding |
| Granite 4.2 8B IBM | Q8_0 | fits | 10.6 GB | 128k | 50tok/sest. | 553 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 8.5 GB | 128k | 63tok/sest. | 684 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.4 GB | 125k | 218tok/sest. | 3992 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 7.8 GB | 128k | 69tok/sest. | 615 tok/s | chat, coding |
| 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 | 5k9k with q8 cache | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- Chip
- Apple M3 Ultra (80-core GPU)
- Memory bus
- 1024-bit
- Memory bandwidth
- 819 GB/s
- FP16 compute
- 28 TFLOPS
- Software
- Metal
- Unified memory
- 96 GB
- GPU can use by default
- 72 GB
- GPU can use, tuned
- 88 GB
- Operating system
- macos
- Processor
- M3 Ultra 32-core
- Storage
- 1000 GB