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Apple Mac Studio (M5 Max, 40-core GPU) vs NVIDIA DGX Spark

The NVIDIA DGX Spark gives a model 120 GB to work in (an assumed figure), against 96 GB on the Apple Mac Studio (M5 Max, 40-core GPU) (also assumed). The Apple Mac Studio (M5 Max, 40-core GPU) has 2.2× the memory bandwidth (614 against 273 GB/s), which sets the ceiling on generation speed. The largest 4-bit model each holds at 8,192 tokens of context: Nemotron 3 Super 120B-A12B on the Apple Mac Studio (M5 Max, 40-core GPU), Qwen3.8 Flash-Next on the NVIDIA DGX Spark. The cheapest NVIDIA DGX Spark lists for about $1,600 more than the cheapest Apple Mac Studio (M5 Max, 40-core GPU). Rows where the two differ are tinted.

Apple unified memory

Apple Mac Studio (M5 Max, 40-core GPU)

Mac Studio with the full M5 Max, configurable to 128GB of unified memory. At 128GB it holds a 70B dense model or a 120B-class MoE model at 4-bit inside the default GPU limit.

gpt-oss-20b, 4-bit: 132 tok/s

NVIDIA GB10

NVIDIA DGX Spark

NVIDIA's own GB10 desktop with 128GB of unified memory, CUDA and a ConnectX-7 port for linking up to four units. Its 273 GB/s memory bandwidth limits single-user token speed compared with Macs of similar memory size, while prompt processing is strong.

gpt-oss-20b, 4-bit: 83 tok/s

Specifications of the Apple Mac Studio (M5 Max, 40-core GPU) and the NVIDIA DGX Spark
SpecificationApple Mac Studio (M5 Max, 40-core GPU)NVIDIA DGX Spark
KindApple unified memory · AppleNVIDIA GB10 · NVIDIA
Chip or GPUsM5 Max (18-core CPU, 40-core GPU)GB10 Grace Blackwell
Memory48 GB, 64 GB, 128 GB128 GB
Memory for models96 GB (Default GPU limit)assumption120 GB (GPU-usable memory)assumption
Other memory figure120 GB (Limit raised with sysctl)assumptionnone
Memory bandwidth614 GB/s273 GB/s
Price~$3,099–$5,099~$4,699
Largest at 4-bit, 8k contextNemotron 3 Super 120B-A12BQwen3.8 Flash-Next
SoftwareMetal, MLXCUDA, Vulkan
Power480 W240 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 Max, 40-core GPU)NVIDIA DGX Spark
Qwen3.8 Flash-Next125B, 6B active · 111.4 GB fileFits with raised limitassumed limit39 tok/smedian of 2 runs~22–29 tok/sestimate
Nemotron 3 Super 120B-A12B120B, 12B active · 81.0 GB file58 tok/smedian of 1 run17 tok/smedian of 2 runs
Qwen3.5 122B-A10B122B, 10B active · 71.3 GB file58 tok/smedian of 4 runs21 tok/smedian of 2 runs
Mistral Medium 3.5 128B128B · 69.8 GB file~6.0–7.5 tok/sestimate~2.5–3.0 tok/sestimate
GLM-4.5-Air106B, 12B active · 68.0 GB file53 tok/smedian of 1 run~16–20 tok/sestimate
Mistral Small 4 119B (2603)119B, 6.5B active · 67.6 GB file92 tok/smedian of 4 runs~32–41 tok/sestimate
Llama 4 Scout 17B-16E Instruct109B, 17B active · 60.9 GB file~20–36 tok/sestimate~13–16 tok/sestimate
gpt-oss-120b117B, 5.1B active · 58.5 GB file90 tok/smedian of 4 runs53 tok/smedian of 23 runs
Qwen3 Coder Next80B, 3B active · 45.2 GB file98 tok/smedian of 3 runs49 tok/smedian of 2 runs
Llama 3.3 70B Instruct70B · 39.6 GB file13 tok/smedian of 3 runs~4.4–5.2 tok/sestimate
Nemotron 3.5 Lightning 30B-A3B30B, 3B active · 23.7 GB file142 tok/smedian of 2 runs~50–64 tok/sestimate
Qwen3.6 35B-A3B35B, 3B active · 20.8 GB file148 tok/smedian of 2 runs~67–86 tok/sestimate
Ornith 1.5 35B-A3B35B, 3B active · 20.2 GB file138 tok/smedian of 1 run~69–88 tok/sestimate
Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · 17.3 GB file107 tok/smedian of 1 run~64–82 tok/sestimate
Gemma 4 31B IT30.7B · 17.1 GB file21 tok/smedian of 3 runs~10–12 tok/sestimate
Granite 4.2 30B29.3B · 16.8 GB file~25–31 tok/sestimate~10–12 tok/sestimate
Qwen3.8 27B27B · 16.2 GB file34 tok/smedian of 2 runs~11–13 tok/sestimate
Gemma 4 26B-A4B IT25.2B, 3.8B active · 15.9 GB file116 tok/smedian of 3 runs~50–64 tok/sestimate
Qwen3.6 27B27B · 15.7 GB file33 tok/smedian of 1 run~11–13 tok/sestimate
Devstral Small 2 24B (2512)24B · 13.3 GB file38 tok/smedian of 1 run~13–15 tok/sestimate
gpt-oss-20b21B, 3.6B active · 10.8 GB file132 tok/smedian of 4 runs83 tok/smedian of 13 runs
Phi-414.7B · 8.3 GB file~51–63 tok/sestimate~21–25 tok/sestimate
Ministral 3 14B Reasoning (2512)13.9B · 7.7 GB file~55–68 tok/sestimate~22–27 tok/sestimate
Gemma 4 12B IT11.95B · 6.6 GB file44 tok/smedian of 1 run~26–31 tok/sestimate
Qwen3.5 9B9B · 5.3 GB file103 tok/smedian of 1 run~33–39 tok/sestimate
Granite 4.2 8B8.8B · 5.2 GB file~81–101 tok/sestimate~33–40 tok/sestimate
Gemma 4 E4B IT8B · 5.0 GB file~148–185 tok/sestimate~61–73 tok/sestimate
Qwen3 8B8.2B · 4.7 GB file92 tok/smedian of 1 run~37–44 tok/sestimate
Llama 3.1 8B Instruct8B · 4.6 GB file90 tok/smedian of 2 runs38 tok/smedian of 5 runs
Qwen3.5 4B4B · 2.6 GB file128 tok/smedian of 1 run~68–81 tok/sestimate

Full pages: Apple Mac Studio (M5 Max, 40-core GPU) · NVIDIA DGX Spark · check a different quant or context length