ASUS Ascent GX10 128GB vs Beelink GTR9 Pro Ryzen AI Max+ 395 128GB

For running models locally, priced in Canada. At 64k context the first runs 73 models fully in memory, the second 71.

In short

Both have 128 GB of memory for models; the ASUS Ascent GX10 128GB has 273 GB/s of bandwidth and the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB 256 GB/s. At 64k context the ASUS Ascent GX10 128GB runs 73 of the models we track fully in memory and the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB 71; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash. On the models both run fully in memory, the ASUS Ascent GX10 128GB is about 1.2× as fast as the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB (estimated, median across models).

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

Specifications

SpecASUS Ascent GX10 128GBBeelink GTR9 Pro Ryzen AI Max+ 395 128GB
ChipGB10 Grace BlackwellRyzen AI Max+ 395 (Radeon 8060S)
Memory bus256-bit256-bit
Memory bandwidth273 GB/s256 GB/s
FP16 compute62 TFLOPS59.4 TFLOPS
SoftwareCUDAROCm
Unified memory128 GB128 GB
GPU can use by default119 GB96 GB
GPU can use, tuned122 GB120 GB
Operating systemdgx-oswindows
Processor20-core Arm (GB10)Ryzen AI Max+ 395
Storage1000 GB2000 GB

What each runs

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

ModelASUS Ascent GX10 128GBBeelink GTR9 Pro Ryzen AI Max+ 395 128GB
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_M3tok/sUD-Q3_K_XL
Qwen 3.8 27B5tok/sQ8_04tok/sQ8_0
MiniMax M2.75tok/sUD-Q3_K_M4tok/sUD-Q2_K_XL
Qwen 3.5 122B-A10B10tok/sQ6_K9tok/sQ5_K_M
Qwen 3.6 27B5tok/sQ8_04tok/sQ8_0
gpt-oss 120B18tok/sMXFP415tok/sMXFP4
Qwen3 Coder Next18tok/sQ8_015tok/sQ8_0
Nemotron 3 Super 120B-A12B9tok/sUD-Q6_K8tok/sQ5_K_M
Gemma 4 31B4tok/sQ8_04tok/sQ8_0
Mistral Small 4 119B14tok/sUD-Q6_K11tok/sUD-Q6_K
Qwen 3.6 35B-A3B23tok/sQ8_019tok/sQ8_0
Qwen 3.5 27B5tok/sQ8_04tok/sQ8_0
Gemma 4 26B-A4B18tok/sQ8_015tok/sQ8_0
GLM 4.5 Air4tok/sQ6_K3tok/sQ5_K_M
Qwen 3.5 35B-A3B23tok/sQ8_019tok/sQ8_0
Qwen3 Next 80B-A3B21tok/sQ8_018tok/sQ8_0
GLM 4.7 Flash12tok/sQ8_010tok/sQ8_0
Devstral Small 2 24B5tok/sQ8_04tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B27tok/sUD-Q6_K_XL22tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B27tok/sQ8_023tok/sQ8_0
gpt-oss 20B25tok/sMXFP421tok/sMXFP4
Qwen3 Coder 30B-A3B11tok/sQ8_09tok/sQ8_0
Qwen3 32B3tok/sQ8_03tok/sQ8_0
Gemma 4 12B12tok/sQ8_010tok/sQ8_0
Qwen 3.5 9B14tok/sQ8_012tok/sQ8_0
Gemma 3 27B5tok/sQ8_04tok/sQ8_0
Mistral Small 3.2 24B5tok/sQ8_04tok/sQ8_0
DeepSeek R1 Distill Qwen 32B3tok/sQ8_03tok/sQ8_0
Llama 3.3 70B2tok/sQ8_02tok/sQ8_0
Ministral 3 14B7tok/sQ8_06tok/sQ8_0
Qwen3 14B6tok/sQ8_05tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B9tok/sQ8_08tok/sQ8_0
Qwen3 8B9tok/sQ8_08tok/sQ8_0
Phi-4 14B6tok/sQ8_05tok/sQ8_0
Qwen 3.5 4B25tok/sQ8_021tok/sQ8_0
Ministral 3 8B9tok/sQ8_08tok/sQ8_0
Granite 4.2 8B8tok/sQ8_07tok/sQ8_0
Gemma 4 E4B17tok/sQ8_014tok/sQ8_0
LFM2.5 8B-A1B24tok/sQ8_020tok/sQ8_0
Llama 3.1 8B11tok/sQ6_K9tok/sQ6_K
Qwen2.5 0.5B127tok/sQ8_0105tok/sQ8_0
Qwen3.5 0.8B104tok/sQ8_086tok/sQ8_0
Qwen3.5 2B75tok/sQ5_K_M62tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B45tok/sQ8_037tok/sQ8_0
MiniCPM5 2B31tok/sQ8_026tok/sQ8_0
Mellum2.1 12B A2.5B Thinking28tok/sQ8_023tok/sQ8_0
LFM2.5 2.6B25tok/sQ8_020tok/sQ8_0
LFM2.5 VL 3B25tok/sQ8_020tok/sQ8_0
Kimi VL A3B Thinking 250620tok/sQ8_016tok/sQ8_0
Kimi VL A3B19tok/smlx-8bit16tok/smlx-8bit
granite vision 4.1 4b19tok/sQ8_016tok/sQ8_0
granite 4.2 3b18tok/sQ8_015tok/sQ8_0
GLM 4 9B 041416tok/smlx-5bit13tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B14tok/sQ8_012tok/sQ8_0
LFM2.5 24B A2B14tok/sQ8_011tok/sQ8_0
GLM 4.6V Flash13tok/sQ8_011tok/sQ8_0
GLM 4.1V 9B Thinking12tok/smlx-8bit10tok/smlx-8bit
DeepSeek R1 Distill Llama 8B10tok/sQ8_08tok/sQ8_0
Ministral 3 8B Reasoning 25129tok/sQ8_08tok/sQ8_0
DeepSeek R1 Distill Qwen 14B6tok/sQ8_05tok/sQ8_0
Devstral Small 25075tok/sQ8_04tok/sQ8_0
Magistral Small 25065tok/sQ8_04tok/sQ8_0
Magistral Small 25075tok/sQ8_04tok/sQ8_0
Magistral Small 25095tok/sQ8_04tok/sQ8_0
GLM 4.5V4tok/sQ8_04tok/sQ4_K_M
GLM 4.6V4tok/sQ8_04tok/sQ4_K_M
granite 4.2 30b4tok/sQ8_03tok/sQ8_0
DeepSeek R1 Distill Llama 70B2tok/sQ8_02tok/sQ8_0
Kimi Dev 72B2tok/sQ8_01tok/sQ8_0
Devstral 2 123B Instruct 25121tok/sQ6_K1tok/sQ4_K_M
Mistral Medium 3.5 128B1tok/sQ6_K1tok/sQ4_K_M
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 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 Beelink GTR9 Pro Ryzen AI Max+ 395 128GB?
Choose the ASUS Ascent GX10 128GB to run bigger models. Choose the ASUS Ascent GX10 128GB for speed.
Which can run bigger models, the ASUS Ascent GX10 128GB or the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB?
At 64k context the ASUS Ascent GX10 128GB runs 73 of the models we track fully in memory and the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB 71; only the ASUS Ascent GX10 128GB holds DeepSeek V4 Flash.
Which is faster for local AI, the ASUS Ascent GX10 128GB or the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB?
On the models both run fully in memory, the ASUS Ascent GX10 128GB is about 1.2× as fast as the Beelink GTR9 Pro Ryzen AI Max+ 395 128GB (estimated, median across models).

More comparisons