Mac Studio M4 Max 128GB vs NVIDIA RTX PRO 5000 Blackwell 48GB

For running models locally, priced in Germany. At 64k context the first runs 77 models fully in memory, the second 63.

In short

The Mac Studio M4 Max 128GB has more memory for models: 128 GB against 48 GB. At 64k context the Mac Studio M4 Max 128GB runs 77 of the models we track fully in memory and the NVIDIA RTX PRO 5000 Blackwell 48GB 63; only the Mac Studio M4 Max 128GB holds Qwen 3.8 Flash Next. On the models both run fully in memory, the NVIDIA RTX PRO 5000 Blackwell 48GB is about 2.3× as fast as the Mac Studio M4 Max 128GB (estimated, median across models). In Germany the Mac Studio M4 Max 128GB costs 9.000 € at eBay and the NVIDIA RTX PRO 5000 Blackwell 48GB 8.351 € at eBay: the NVIDIA RTX PRO 5000 Blackwell 48GB is 649 € cheaper.

Updated . Speeds are estimates; how they are worked out.

Specifications

SpecMac Studio M4 Max 128GBNVIDIA RTX PRO 5000 Blackwell 48GB
ChipApple M4 Max (40-core GPU)–
Memory bus512-bit384-bit
Memory bandwidth546 GB/s1,344 GB/s
FP16 compute16.16 TFLOPS73.69 TFLOPS
SoftwareMetalCUDA
Unified memory128 GB–
GPU can use by default96 GB–
GPU can use, tuned120 GB–
Operating systemmacos–
ProcessorM4 Max 16-core–
Storage1000 GB–
GPU–RTX PRO 5000 Blackwell 48GB
Memory–48 GB GDDR7
Board power–300 W
PCIe generation–Gen 5
PCIe lanes–x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelMac Studio M4 Max 128GBNVIDIA RTX PRO 5000 Blackwell 48GB
Qwen 3.8 Flash Next7tok/sUD-Q3_K_XLwon't run
Qwen 3.8 27B11tok/sQ8_025tok/sQ8_0
MiniMax M2.711tok/sUD-Q2_K_XLwon't run
Qwen 3.5 122B-A10B24tok/sQ5_K_M98tok/sUD-Q2_K_XL
Qwen 3.6 27B11tok/sQ8_025tok/sQ8_0
gpt-oss 120B38tok/sMXFP4offload
Qwen3 Coder Next37tok/sQ8_0offload
Nemotron 3 Super 120B-A12B21tok/sQ5_K_Moffload
Gemma 4 31B9tok/sQ8_022tok/sQ8_0
Mistral Small 4 119B29tok/sUD-Q6_K129tok/sUD-Q2_K_XL
Qwen 3.6 35B-A3B48tok/sQ8_0112tok/sQ8_0
Qwen 3.5 27B11tok/sQ8_025tok/sQ8_0
Gemma 4 26B-A4B37tok/sQ8_088tok/sQ8_0
GLM 4.5 Air9tok/sQ5_K_Moffload
Qwen 3.5 35B-A3B48tok/sQ8_0112tok/sQ8_0
Qwen3 Next 80B-A3B44tok/sQ8_0offload
GLM 4.7 Flash24tok/sQ8_057tok/sQ8_0
Devstral Small 2 24B10tok/sQ8_023tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B56tok/sUD-Q6_K_XL132tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B57tok/sQ8_0164tok/sQ6_K
gpt-oss 20B53tok/sMXFP4124tok/sMXFP4
Qwen3 Coder 30B-A3B22tok/sQ8_052tok/sQ8_0
Qwen3 32B7tok/sQ8_019tok/sQ6_K
Gemma 4 12B25tok/sQ8_059tok/sQ8_0
Qwen 3.5 9B30tok/sQ8_071tok/sQ8_0
Gemma 3 27B10tok/sQ8_024tok/sQ8_0
Mistral Small 3.2 24B10tok/sQ8_023tok/sQ8_0
DeepSeek R1 Distill Qwen 32B7tok/sQ8_019tok/sQ6_K
Llama 3.3 70B4tok/sQ8_0offload
Ministral 3 14B14tok/sQ8_033tok/sQ8_0
Qwen3 14B13tok/sQ8_032tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B19tok/sQ8_045tok/sQ8_0
Qwen3 8B19tok/sQ8_045tok/sQ8_0
Phi-4 14B12tok/sQ8_029tok/sQ8_0
Qwen 3.5 4B53tok/sQ8_0125tok/sQ8_0
Ministral 3 8B20tok/sQ8_046tok/sQ8_0
Granite 4.2 8B18tok/sQ8_042tok/sQ8_0
Gemma 4 E4B35tok/sQ8_082tok/sQ8_0
LFM2.5 8B-A1B50tok/sQ8_0117tok/sQ8_0
Llama 3.1 8B23tok/sQ6_K55tok/sQ6_K
Qwen2.5 0.5B266tok/sQ8_0624tok/sQ8_0
Qwen3.5 0.8B217tok/sQ8_0509tok/sQ8_0
Qwen3.5 2B157tok/sQ5_K_M369tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B94tok/sQ8_0221tok/sQ8_0
MiniCPM5 2B65tok/sQ8_0152tok/sQ8_0
Spark X2.5 4B64tok/smlx-4bit151tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking58tok/sQ8_0137tok/sQ8_0
FrogNano 4B 260952tok/sQ8_0122tok/sQ8_0
LFM2.5 2.6B51tok/sQ8_0121tok/sQ8_0
LFM2.5 VL 3B51tok/sQ8_0121tok/sQ8_0
Kimi VL A3B Thinking 250641tok/sQ8_097tok/sQ8_0
Kimi VL A3B40tok/smlx-8bit94tok/smlx-8bit
granite vision 4.1 4b40tok/sQ8_093tok/sQ8_0
granite 4.2 3b38tok/sQ8_090tok/sQ8_0
Ministral 3 3B Instruct 251233tok/sQ8_078tok/sQ8_0
GLM 4 9B 041433tok/smlx-5bit76tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B30tok/sQ8_070tok/sQ8_0
LFM2.5 24B A2B28tok/sQ8_067tok/sQ8_0
GLM 4.6V Flash28tok/sQ8_066tok/sQ8_0
GLM 4.1V 9B Thinking25tok/smlx-8bit58tok/smlx-8bit
DeepSeek R1 Distill Llama 8B21tok/sQ8_049tok/sQ8_0
Ministral 3 8B Reasoning 251220tok/sQ8_046tok/sQ8_0
Ministral 3 14B Reasoning 251214tok/sQ8_033tok/sQ8_0
Qwen3.8 27B OBLITERATED14tok/smlx-4bit33tok/smlx-4bit
DeepSeek R1 Distill Qwen 14B12tok/sQ8_029tok/sQ8_0
Muse Glimmer 30B11tok/sQ8_025tok/sQ8_0
GLM 4.5V10tok/sQ4_K_Moffload
Devstral Small 250710tok/sQ8_023tok/sQ8_0
Magistral Small 250610tok/sQ8_023tok/sQ8_0
Magistral Small 250710tok/sQ8_023tok/sQ8_0
Magistral Small 250910tok/sQ8_023tok/sQ8_0
GLM 4.6V10tok/sQ4_K_Mwon't run
granite 4.2 30b7tok/sQ8_017tok/sQ8_0
DeepSeek R1 Distill Llama 70B4tok/sQ8_0offload
Devstral 2 123B Instruct 25124tok/sQ4_K_Mwon't run
Kimi Dev 72B4tok/sQ8_0won't run
Mistral Medium 3.5 128B4tok/sQ4_K_Mwon't run
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
GLM 4.5won't runwon't run
GLM 4.6won't runwon't run
GLM 4.7won't runwon't run
GLM 5won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run

Questions

Which is better for local AI, the Mac Studio M4 Max 128GB or the NVIDIA RTX PRO 5000 Blackwell 48GB?
Choose the Mac Studio M4 Max 128GB to run bigger models. Choose the NVIDIA RTX PRO 5000 Blackwell 48GB for speed. Choose the NVIDIA RTX PRO 5000 Blackwell 48GB to spend less.
Which can run bigger models, the Mac Studio M4 Max 128GB or the NVIDIA RTX PRO 5000 Blackwell 48GB?
At 64k context the Mac Studio M4 Max 128GB runs 77 of the models we track fully in memory and the NVIDIA RTX PRO 5000 Blackwell 48GB 63; only the Mac Studio M4 Max 128GB holds Qwen 3.8 Flash Next.
Which is faster for local AI, the Mac Studio M4 Max 128GB or the NVIDIA RTX PRO 5000 Blackwell 48GB?
On the models both run fully in memory, the NVIDIA RTX PRO 5000 Blackwell 48GB is about 2.3× as fast as the Mac Studio M4 Max 128GB (estimated, median across models).
What is the price difference between the Mac Studio M4 Max 128GB and the NVIDIA RTX PRO 5000 Blackwell 48GB?
In Germany the Mac Studio M4 Max 128GB costs 9.000 € at eBay and the NVIDIA RTX PRO 5000 Blackwell 48GB 8.351 € at eBay: the NVIDIA RTX PRO 5000 Blackwell 48GB is 649 € cheaper.

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