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Apple Mac Studio (M5 Ultra, 80-core GPU) vs Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell

The Apple Mac Studio (M5 Ultra, 80-core GPU) gives a model 192 GB to work in (an assumed figure), against 96 GB on the Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell. The Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell has 1.5× the memory bandwidth (1,792 against 1,200 GB/s), which sets the ceiling on generation speed. The largest 4-bit model each holds at 8,192 tokens of context: GLM-5.3 Flash on the Apple Mac Studio (M5 Ultra, 80-core GPU), Nemotron 3 Super 120B-A12B on the Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell. The cheapest Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell lists for about $7,110 more than the cheapest Apple Mac Studio (M5 Ultra, 80-core GPU). Rows where the two differ are tinted.

Apple unified memory

Apple Mac Studio (M5 Ultra, 80-core GPU)

The full M5 Ultra Mac Studio. Apple lists a 512GB option for this chip as coming in late October 2026; until it ships, 256GB is the largest orderable memory.

gpt-oss-20b, 4-bit: ~200–357 tok/sestimate

NVIDIA workstation

Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell

A single-socket Dell workstation tower configured with NVIDIA's 96GB RTX PRO 6000 Blackwell card. It is the simplest way to buy 96GB of fast VRAM with a manufacturer warranty, at a large premium over a built PC.

gpt-oss-20b, 4-bit: 287 tok/s

Specifications of the Apple Mac Studio (M5 Ultra, 80-core GPU) and the Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell
SpecificationApple Mac Studio (M5 Ultra, 80-core GPU)Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell
KindApple unified memory · AppleNVIDIA workstation · Dell
Chip or GPUsM5 Ultra (36-core CPU, 80-core GPU)RTX PRO 6000 Blackwell Workstation Edition
Memory96 GB, 256 GB96 GB
Memory for models192 GB (Default GPU limit)assumption96 GB (GPU-usable memory)
Other memory figure248 GB (Limit raised with sysctl)assumptionnone
Memory bandwidth1,200 GB/s1,792 GB/s
Price~$6,799–$10,799~$13,909 (with 8GB of system RAM; 128GB adds $3,940)
Largest at 4-bit, 8k contextGLM-5.3 FlashNemotron 3 Super 120B-A12B
SoftwareMetal, MLXCUDA, Vulkan
Power480 W1500 W

What each one runs

Every model in the catalog that at least one of the two holds at 4-bit with 8,192 tokens of context. Copper speeds are measured medians; outlined ones are estimates. Rows where only one fits, or where the speed differs by more than a quarter, are tinted.

ModelApple Mac Studio (M5 Ultra, 80-core GPU)Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell
MiniMax M3428B, 23B active · 243.3 GB fileFits with raised limitassumed limit~28–51 tok/sestimatedoes not fit
Qwen3.5 397B-A17B397B, 17B active · 227.3 GB fileFits with raised limitassumed limit~38–68 tok/sestimatedoes not fit
GLM-5.3 Flash320B, 18B active · 186.0 GB file~36–63 tok/sestimatedoes not fit
Hy3295B, 21B active · 169.6 GB file~31–55 tok/sestimatedoes not fit
MiniMax M2.7228.7B · 129.3 GB file–does not fit
Qwen3.8 Flash-Next125B, 6B active · 111.4 GB file~70–124 tok/sestimatedoes not fit
Nemotron 3 Super 120B-A12B120B, 12B active · 81.0 GB file~46–82 tok/sestimate~51–75 tok/sestimate
Qwen3.5 122B-A10B122B, 10B active · 71.3 GB file~64–113 tok/sestimate98 tok/smedian of 1 run
Mistral Medium 3.5 128B128B · 69.8 GB file~12–15 tok/sestimate~12–18 tok/sestimate
GLM-4.5-Air106B, 12B active · 68.0 GB file~48–86 tok/sestimate101 tok/smedian of 1 run
Mistral Small 4 119B (2603)119B, 6.5B active · 67.6 GB file~101–179 tok/sestimate~112–164 tok/sestimate
Llama 4 Scout 17B-16E Instruct109B, 17B active · 60.9 GB file~39–70 tok/sestimate~44–64 tok/sestimate
gpt-oss-120b117B, 5.1B active · 58.5 GB file111 tok/smedian of 1 run202 tok/smedian of 4 runs
Qwen3 Coder Next80B, 3B active · 45.2 GB file102 tok/smedian of 2 runs91 tok/smedian of 1 run
Llama 3.3 70B Instruct70B · 39.6 GB file~21–26 tok/sestimate32 tok/smedian of 1 run
Nemotron 3.5 Lightning 30B-A3B30B, 3B active · 23.7 GB file~157–279 tok/sestimate~175–256 tok/sestimate
Qwen3.6 35B-A3B35B, 3B active · 20.8 GB file~209–373 tok/sestimate~233–341 tok/sestimate
Ornith 1.5 35B-A3B35B, 3B active · 20.2 GB file~214–382 tok/sestimate~240–350 tok/sestimate
Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · 17.3 GB file~199–354 tok/sestimate~222–324 tok/sestimate
Gemma 4 31B IT30.7B · 17.1 GB file~48–60 tok/sestimate62 tok/smedian of 1 run
Granite 4.2 30B29.3B · 16.8 GB file~49–61 tok/sestimate~49–77 tok/sestimate
Qwen3.8 27B27B · 16.2 GB file50 tok/smedian of 4 runs~50–79 tok/sestimate
Gemma 4 26B-A4B IT25.2B, 3.8B active · 15.9 GB file~155–277 tok/sestimate197 tok/smedian of 1 run
Qwen3.6 27B27B · 15.7 GB file~52–65 tok/sestimate~52–82 tok/sestimate
Devstral Small 2 24B (2512)24B · 13.3 GB file~61–77 tok/sestimate~61–96 tok/sestimate
gpt-oss-20b21B, 3.6B active · 10.8 GB file~200–357 tok/sestimate287 tok/smedian of 3 runs
Phi-414.7B · 8.3 GB file~99–123 tok/sestimate~99–155 tok/sestimate
Ministral 3 14B Reasoning (2512)13.9B · 7.7 GB file~107–133 tok/sestimate~107–167 tok/sestimate
Gemma 4 12B IT11.95B · 6.6 GB file~124–154 tok/sestimate~123–194 tok/sestimate
Qwen3.5 9B9B · 5.3 GB file~155–193 tok/sestimate~155–243 tok/sestimate
Granite 4.2 8B8.8B · 5.2 GB file~159–198 tok/sestimate~159–249 tok/sestimate
Gemma 4 E4B IT8B · 5.0 GB file~290–361 tok/sestimate~289–454 tok/sestimate
Qwen3 8B8.2B · 4.7 GB file~175–218 tok/sestimate174 tok/smedian of 1 run
Llama 3.1 8B Instruct8B · 4.6 GB file~179–223 tok/sestimate144 tok/smedian of 2 runs
Qwen3.5 4B4B · 2.6 GB file~321–400 tok/sestimate~321–503 tok/sestimate

Full pages: Apple Mac Studio (M5 Ultra, 80-core GPU) · Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell · check a different quant or context length