readygpu

Framework Desktop Ryzen AI Max+ 395 128GB vs Framework Desktop Ryzen AI Max+ 395 64GB

For running models locally, priced in Canada. At 128k context the first runs 39 models fully in memory, the second 30.

In short

The Framework Desktop Ryzen AI Max+ 395 128GB has more memory for models: 128 GB against 64 GB. At 128k context the Framework Desktop Ryzen AI Max+ 395 128GB runs 39 of the models we track fully in memory and the Framework Desktop Ryzen AI Max+ 395 64GB 30; only the Framework Desktop Ryzen AI Max+ 395 128GB holds Qwen 3.8 Flash Next. On the models both run fully in memory, the Framework Desktop Ryzen AI Max+ 395 128GB and the Framework Desktop Ryzen AI Max+ 395 64GB are about as fast as each other (estimated).

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

Framework Desktop Ryzen AI Max+ 395 128GB

Not priced here

Add to build
Framework Desktop Ryzen AI Max+ 395 64GB

Not priced here

Add to build

Specifications

SpecFramework Desktop Ryzen AI Max+ 395 128GBFramework Desktop Ryzen AI Max+ 395 64GB
ChipRyzen AI Max+ 395 (Radeon 8060S)Ryzen AI Max+ 395 (Radeon 8060S)
Memory bus256-bit256-bit
Memory bandwidth256 GB/s256 GB/s
FP16 compute59.4 TFLOPS59.4 TFLOPS
SoftwareROCmROCm
Unified memory128 GB64 GB
GPU can use by default96 GB48 GB
GPU can use, tuned120 GB56 GB
Operating systemlinuxlinux
ProcessorRyzen AI Max+ 395Ryzen AI Max+ 395
Storage1000 GB1000 GB

What each runs

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

ModelFramework Desktop Ryzen AI Max+ 395 128GBFramework Desktop Ryzen AI Max+ 395 64GB
Qwen 3.8 Flash Next3tok/sUD-Q3_K_XLwon't run
Qwen 3.8 27B4tok/sQ8_04tok/sQ8_0
Qwen 3.5 122B-A10B8tok/sQ5_K_M13tok/sUD-Q2_K_XL
Qwen 3.6 27B4tok/sQ8_04tok/sQ8_0
Qwen3 Coder Next11tok/sQ8_0won't run
gpt-oss 120B11tok/sMXFP4won't run
Nemotron 3 Super 120B-A12B9tok/sUD-Q4_K_Mwon't run
Gemma 4 31B3tok/sQ8_03tok/sQ8_0
Mistral Small 4 119B10tok/sUD-Q5_K_M16tok/sUD-Q2_K_XL
Qwen 3.6 35B-A3B15tok/sQ8_015tok/sQ8_0
Qwen 3.5 27B4tok/sQ8_04tok/sQ8_0
Gemma 4 26B-A4B12tok/sQ8_012tok/sQ8_0
GLM 4.5 Air2tok/sQ4_K_Mwon't run
Qwen 3.5 35B-A3B15tok/sQ8_015tok/sQ8_0
Qwen3 Next 80B-A3B13tok/sQ8_0won't run
GLM 4.7 Flash7tok/sQ8_07tok/sQ8_0
Devstral Small 2 24B3tok/sQ8_03tok/sQ8_0
Nemotron 3.5 Lightning 30B-A3B20tok/sUD-Q6_K_XL20tok/sUD-Q6_K_XL
Kimi Linear 48B-A3B20tok/sQ8_024tok/sQ6_K
gpt-oss 20B15tok/sMXFP415tok/sMXFP4
Qwen3 Coder 30B-A3B5tok/sQ8_05tok/sQ8_0
Qwen3 32B2tok/sQ8_0won't run
Gemma 4 12B9tok/sQ8_09tok/sQ8_0
Qwen 3.5 9B10tok/sQ8_010tok/sQ8_0
Gemma 3 27B4tok/sQ8_04tok/sQ8_0
Mistral Small 3.2 24B3tok/sQ8_03tok/sQ8_0
DeepSeek R1 Distill Qwen 32B2tok/sQ8_0won't run
Llama 3.3 70B2tok/sQ5_K_Mwon't run
Ministral 3 14B4tok/sQ8_04tok/sQ8_0
Qwen3 14B4tok/sQ8_04tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B5tok/sQ8_05tok/sQ8_0
Qwen3 8B5tok/sQ8_05tok/sQ8_0
Phi-4 14B3tok/sQ8_03tok/sQ8_0
Qwen 3.5 4B16tok/sQ8_016tok/sQ8_0
Ministral 3 8B5tok/sQ8_05tok/sQ8_0
Granite 4.2 8B5tok/sQ8_05tok/sQ8_0
Gemma 4 E4B12tok/sQ8_012tok/sQ8_0
LFM2.5 8B-A1B11tok/sQ8_011tok/sQ8_0
Llama 3.1 8B6tok/sQ6_K6tok/sQ6_K
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
MiniMax M2.7won't runwon't run

Questions

Which is better for local AI, the Framework Desktop Ryzen AI Max+ 395 128GB or the Framework Desktop Ryzen AI Max+ 395 64GB?
Choose the Framework Desktop Ryzen AI Max+ 395 128GB to run bigger models.
Which can run bigger models, the Framework Desktop Ryzen AI Max+ 395 128GB or the Framework Desktop Ryzen AI Max+ 395 64GB?
At 128k context the Framework Desktop Ryzen AI Max+ 395 128GB runs 39 of the models we track fully in memory and the Framework Desktop Ryzen AI Max+ 395 64GB 30; only the Framework Desktop Ryzen AI Max+ 395 128GB holds Qwen 3.8 Flash Next.
Which is faster for local AI, the Framework Desktop Ryzen AI Max+ 395 128GB or the Framework Desktop Ryzen AI Max+ 395 64GB?
On the models both run fully in memory, the Framework Desktop Ryzen AI Max+ 395 128GB and the Framework Desktop Ryzen AI Max+ 395 64GB are about as fast as each other (estimated).

More comparisons