ASUS Ascent GX10 128GB vs Mac Studio M4 Max 64GB

For running models locally, priced in the US. At 64k context the first runs 76 models fully in memory, the second 62.

In short

The ASUS Ascent GX10 128GB has more memory for models: 128 GB against 64 GB. At 64k context the ASUS Ascent GX10 128GB runs 76 of the models we track fully in memory and the Mac Studio M4 Max 64GB 62; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash. On the models both run fully in memory, the Mac Studio M4 Max 64GB is about 2.1× as fast as the ASUS Ascent GX10 128GB (estimated, median across models). In the US the ASUS Ascent GX10 128GB costs $4,322 at Amazon and the Mac Studio M4 Max 64GB $3,600 at eBay: the Mac Studio M4 Max 64GB is $722 cheaper.

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

Specifications

SpecASUS Ascent GX10 128GBMac Studio M4 Max 64GB
ChipGB10 Grace BlackwellApple M4 Max (40-core GPU)
Memory bus256-bit512-bit
Memory bandwidth273 GB/s546 GB/s
FP16 compute62 TFLOPS16.16 TFLOPS
SoftwareCUDAMetal
Unified memory128 GB64 GB
GPU can use by default119 GB48 GB
GPU can use, tuned122 GB56 GB
Operating systemdgx-osmacos
Processor20-core Arm (GB10)M4 Max 16-core
Storage1000 GB1000 GB

What each runs

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

ModelASUS Ascent GX10 128GBMac Studio M4 Max 64GB
DeepSeek V4 Flash8tok/sUD-Q2_K_XLwon't run
GLM 5.3 Flash11tok/sUD-Q2_K_XLwon't run
Qwen 3.8 Flash Next2tok/sQ4_K_Mwon't run
Qwen 3.8 27B5tok/sQ8_011tok/sQ8_0
MiniMax M2.75tok/sUD-Q3_K_Mwon't run
Qwen 3.5 122B-A10B10tok/sQ6_K42tok/sUD-Q2_K_XL
Qwen 3.6 27B5tok/sQ8_011tok/sQ8_0
gpt-oss 120B18tok/sMXFP4won't run
Qwen3 Coder Next18tok/sQ8_053tok/sQ4_K_M
Nemotron 3 Super 120B-A12B9tok/sUD-Q6_Kwon't run
Gemma 4 31B4tok/sQ8_09tok/sQ8_0
Mistral Small 4 119B14tok/sUD-Q6_K55tok/sUD-Q2_K_XL
Qwen 3.6 35B-A3B23tok/sQ8_048tok/sQ8_0
Qwen 3.5 27B5tok/sQ8_011tok/sQ8_0
Gemma 4 26B-A4B18tok/sQ8_037tok/sQ8_0
GLM 4.5 Air4tok/sQ6_Kwon't run
Qwen 3.5 35B-A3B23tok/sQ8_048tok/sQ8_0
Qwen3 Next 80B-A3B21tok/sQ8_061tok/sQ4_K_M
GLM 4.7 Flash12tok/sQ8_024tok/sQ8_0
Devstral Small 2 24B5tok/sQ8_010tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B27tok/sUD-Q6_K_XL56tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B27tok/sQ8_070tok/sQ6_K
gpt-oss 20B25tok/sMXFP453tok/sMXFP4
Qwen3 Coder 30B-A3B11tok/sQ8_022tok/sQ8_0
Qwen3 32B3tok/sQ8_08tok/sQ6_K
Gemma 4 12B12tok/sQ8_025tok/sQ8_0
Qwen 3.5 9B14tok/sQ8_030tok/sQ8_0
Gemma 3 27B5tok/sQ8_010tok/sQ8_0
Mistral Small 3.2 24B5tok/sQ8_010tok/sQ8_0
DeepSeek R1 Distill Qwen 32B3tok/sQ8_08tok/sQ6_K
Llama 3.3 70B2tok/sQ8_0won't run
Ministral 3 14B7tok/sQ8_014tok/sQ8_0
Qwen3 14B6tok/sQ8_013tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B9tok/sQ8_019tok/sQ8_0
Qwen3 8B9tok/sQ8_019tok/sQ8_0
Phi-4 14B6tok/sQ8_012tok/sQ8_0
Qwen 3.5 4B25tok/sQ8_053tok/sQ8_0
Ministral 3 8B9tok/sQ8_020tok/sQ8_0
Granite 4.2 8B8tok/sQ8_018tok/sQ8_0
Gemma 4 E4B17tok/sQ8_035tok/sQ8_0
LFM2.5 8B-A1B24tok/sQ8_050tok/sQ8_0
Llama 3.1 8B11tok/sQ6_K23tok/sQ6_K
Qwen2.5 0.5B127tok/sQ8_0266tok/sQ8_0
Qwen3.5 0.8B104tok/sQ8_0217tok/sQ8_0
Qwen3.5 2B75tok/sQ5_K_M157tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B45tok/sQ8_094tok/sQ8_0
MiniCPM5 2B31tok/sQ8_065tok/sQ8_0
Spark X2.5 4B31tok/smlx-4bit64tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking28tok/sQ8_058tok/sQ8_0
FrogNano 4B 260925tok/sQ8_052tok/sQ8_0
LFM2.5 2.6B25tok/sQ8_051tok/sQ8_0
LFM2.5 VL 3B25tok/sQ8_051tok/sQ8_0
Kimi VL A3B Thinking 250620tok/sQ8_041tok/sQ8_0
Kimi VL A3B19tok/smlx-8bit40tok/smlx-8bit
granite vision 4.1 4b19tok/sQ8_040tok/sQ8_0
granite 4.2 3b18tok/sQ8_038tok/sQ8_0
GLM 4 9B 041416tok/smlx-5bit33tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B14tok/sQ8_030tok/sQ8_0
LFM2.5 24B A2B14tok/sQ8_028tok/sQ8_0
GLM 4.6V Flash13tok/sQ8_028tok/sQ8_0
GLM 4.1V 9B Thinking12tok/smlx-8bit25tok/smlx-8bit
DeepSeek R1 Distill Llama 8B10tok/sQ8_021tok/sQ8_0
Ministral 3 8B Reasoning 25129tok/sQ8_020tok/sQ8_0
Qwen3.8 27B OBLITERATED7tok/smlx-4bit14tok/smlx-4bit
DeepSeek R1 Distill Qwen 14B6tok/sQ8_012tok/sQ8_0
Devstral Small 25075tok/sQ8_010tok/sQ8_0
Magistral Small 25065tok/sQ8_010tok/sQ8_0
Magistral Small 25075tok/sQ8_010tok/sQ8_0
Magistral Small 25095tok/sQ8_010tok/sQ8_0
GLM 4.5V4tok/sQ8_0won't run
GLM 4.6V4tok/sQ8_0won't run
granite 4.2 30b4tok/sQ8_07tok/sQ8_0
DeepSeek R1 Distill Llama 70B2tok/sQ8_0won't run
Kimi Dev 72B2tok/sQ8_0won't run
Devstral 2 123B Instruct 25121tok/sQ6_Kwon't run
Mistral Medium 3.5 128B1tok/sQ6_Kwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Zerowon'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 4.6won'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 ASUS Ascent GX10 128GB or the Mac Studio M4 Max 64GB?
Choose the ASUS Ascent GX10 128GB to run bigger models. Choose the Mac Studio M4 Max 64GB for speed. Choose the Mac Studio M4 Max 64GB to spend less.
Which can run bigger models, the ASUS Ascent GX10 128GB or the Mac Studio M4 Max 64GB?
At 64k context the ASUS Ascent GX10 128GB runs 76 of the models we track fully in memory and the Mac Studio M4 Max 64GB 62; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash.
Which is faster for local AI, the ASUS Ascent GX10 128GB or the Mac Studio M4 Max 64GB?
On the models both run fully in memory, the Mac Studio M4 Max 64GB is about 2.1× as fast as the ASUS Ascent GX10 128GB (estimated, median across models).
What is the price difference between the ASUS Ascent GX10 128GB and the Mac Studio M4 Max 64GB?
In the US the ASUS Ascent GX10 128GB costs $4,322 at Amazon and the Mac Studio M4 Max 64GB $3,600 at eBay: the Mac Studio M4 Max 64GB is $722 cheaper.

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