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Apple Mac Studio (M5 Max, 40-core GPU) vs 2x RTX 3090 (used)

The Apple Mac Studio (M5 Max, 40-core GPU) gives a model 96 GB to work in (an assumed figure), against 46.5 GB on the 2x RTX 3090 (used). The 2x RTX 3090 (used) has 1.5× the memory bandwidth (936 against 614 GB/s, per card for multi-GPU builds), 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), Llama 3.3 70B Instruct on the 2x RTX 3090 (used). The 2x RTX 3090 (used) has no complete price: GPU and risers prices not included. 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

Multi-GPU

2x RTX 3090 (used)

Two used 3090s give 48 GB for 70B-class models at 4-bit. The 3090 is the newest GeForce card with an NVLink connector, which only matters for tensor-parallel serving.

gpt-oss-20b, 4-bit: ~117–171 tok/sestimate

Specifications of the Apple Mac Studio (M5 Max, 40-core GPU) and the 2x RTX 3090 (used)
SpecificationApple Mac Studio (M5 Max, 40-core GPU)2x RTX 3090 (used)
KindApple unified memory · AppleMulti-GPU · DIY
Chip or GPUsM5 Max (18-core CPU, 40-core GPU)2× RTX 3090
Memory48 GB, 64 GB, 128 GB48 GB VRAM + 64 GB RAM
Memory for models96 GB (Default GPU limit)assumption46.5 GB (VRAM across all cards)
Other memory figure120 GB (Limit raised with sysctl)assumptionnone
Memory bandwidth614 GB/s936 GB/s per card
FP16 computenot published71.2 TFLOPS per card
Price~$3,099–$5,099~$3,639 + unpriced parts (GPU and risers prices not included)
Largest at 4-bit, 8k contextNemotron 3 Super 120B-A12BLlama 3.3 70B Instruct
SoftwareMetal, MLXCUDA, Vulkan
Power480 W1500 W power supply

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)2x RTX 3090 (used)
Qwen3.8 Flash-Next125B, 6B active · 111.4 GB fileFits with raised limitassumed limit39 tok/smedian of 2 runsdoes not fit
Nemotron 3 Super 120B-A12B120B, 12B active · 81.0 GB file58 tok/smedian of 1 rundoes not fit
Qwen3.5 122B-A10B122B, 10B active · 71.3 GB file58 tok/smedian of 4 runsdoes not fit
Mistral Medium 3.5 128B128B · 69.8 GB file~6.0–7.5 tok/sestimatedoes not fit
GLM-4.5-Air106B, 12B active · 68.0 GB file53 tok/smedian of 1 rundoes not fit
Mistral Small 4 119B (2603)119B, 6.5B active · 67.6 GB file92 tok/smedian of 4 runsdoes not fit
Llama 4 Scout 17B-16E Instruct109B, 17B active · 60.9 GB file~20–36 tok/sestimatedoes not fit
gpt-oss-120b117B, 5.1B active · 58.5 GB file90 tok/smedian of 4 runsdoes not fit
Qwen3 Coder Next80B, 3B active · 45.2 GB file98 tok/smedian of 3 runsdoes not fit
Llama 3.3 70B Instruct70B · 39.6 GB file13 tok/smedian of 3 runs20 tok/smedian of 1 run
Nemotron 3.5 Lightning 30B-A3B30B, 3B active · 23.7 GB file142 tok/smedian of 2 runs~91–133 tok/sestimate
Qwen3.6 35B-A3B35B, 3B active · 20.8 GB file148 tok/smedian of 2 runs~122–178 tok/sestimate
Ornith 1.5 35B-A3B35B, 3B active · 20.2 GB file138 tok/smedian of 1 run~125–183 tok/sestimate
Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · 17.3 GB file107 tok/smedian of 1 run~116–169 tok/sestimate
Gemma 4 31B IT30.7B · 17.1 GB file21 tok/smedian of 3 runs~25–39 tok/sestimate
Granite 4.2 30B29.3B · 16.8 GB file~25–31 tok/sestimate~25–40 tok/sestimate
Qwen3.8 27B27B · 16.2 GB file34 tok/smedian of 2 runs~26–41 tok/sestimate
Gemma 4 26B-A4B IT25.2B, 3.8B active · 15.9 GB file116 tok/smedian of 3 runs~91–132 tok/sestimate
Qwen3.6 27B27B · 15.7 GB file33 tok/smedian of 1 run~27–43 tok/sestimate
Devstral Small 2 24B (2512)24B · 13.3 GB file38 tok/smedian of 1 run~32–50 tok/sestimate
gpt-oss-20b21B, 3.6B active · 10.8 GB file132 tok/smedian of 4 runs~117–171 tok/sestimate
Phi-414.7B · 8.3 GB file~51–63 tok/sestimate~52–81 tok/sestimate
Ministral 3 14B Reasoning (2512)13.9B · 7.7 GB file~55–68 tok/sestimate~56–87 tok/sestimate
Gemma 4 12B IT11.95B · 6.6 GB file44 tok/smedian of 1 run~64–101 tok/sestimate
Qwen3.5 9B9B · 5.3 GB file103 tok/smedian of 1 run~81–127 tok/sestimate
Granite 4.2 8B8.8B · 5.2 GB file~81–101 tok/sestimate~83–130 tok/sestimate
Gemma 4 E4B IT8B · 5.0 GB file~148–185 tok/sestimate~151–237 tok/sestimate
Qwen3 8B8.2B · 4.7 GB file92 tok/smedian of 1 run~91–143 tok/sestimate
Llama 3.1 8B Instruct8B · 4.6 GB file90 tok/smedian of 2 runs~93–146 tok/sestimate
Qwen3.5 4B4B · 2.6 GB file128 tok/smedian of 1 run~167–263 tok/sestimate

Full pages: Apple Mac Studio (M5 Max, 40-core GPU) · 2x RTX 3090 (used) · check a different quant or context length