Framework Desktop (Ryzen AI Max+ 395, 128 GB) vs GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)

Framework Desktop has 128 GB memory, 256 GB/s bandwidth, 140 W nominal power; GMKtec EVO-X2 has 128 GB memory, 256 GB/s bandwidth, 140 W nominal power. Compare model compatibility, like-for-like tokens/sec and ownership cost below.

Framework Desktop (Ryzen AI Max+ 395, 128 GB) · GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)

Verdict
  • throughputThe Framework Desktop (Ryzen AI Max+ 395, 128 GB) delivers approximately 13% higher aggregate decode throughput across 4 like-for-like model configurations (same quantization, runtime, context and inference settings).
  • capacityBoth machines run all 8 compared models in their best practical configurations. Compare their quantizations and evidence labels before treating any throughput difference as a hardware result.
  • costAt 8 hours a day, the GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB) has approximately 20% lower total monthly cost ($22 against $28), for a C corporation in United States (federal).
  • evidence1 of 4 like-for-like rows compare measured evidence on both machines; the remaining comparable rows use matched estimates.
  • recommendationThere is no single answer: the Framework Desktop (Ryzen AI Max+ 395, 128 GB) is faster, the GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB) is cheaper to own, and the GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB) gives more throughput per unit of purchase currency. Pick on whichever constraint actually binds you — interactive latency, monthly budget, or capacity headroom for larger models later.
Every statement above is generated from the calculations on this page by fixed rules — no prose is written for individual comparisons. If the numbers change, the verdict changes with them.
Hardware
Framework Desktop (Ryzen AI Max+ 395, 128 GB)GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)
Purchase price estimate$2,161 *$1,711 *
Memory128 GB128 GB
Memory bandwidth256 GB/s256 GB/s
Usable bandwidth indicator123 GB/s (48%)107 GB/s (42%)
Nominal power140 W140 W
Measured load power130 W135 W
Idle power12 W14 W
Architectureigpu unifiedigpu unified
Like-for-like performance4 comparable models
DeepSeek-V4 FlashMixtral 8x22BQwen3.5 122B-A10BNemotron 3 Super 120B-A12BMistral Small 4 119B-A6.5Bgpt-oss-120bMixtral 8x7BPhi-3.5 MoE 42B-A6.6B
ModelFramework Desktop (Ryzen AI Max+ 395, 128 GB)GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)Winner
DeepSeek-V4 Flash
304.18B (13B active)
—
no matched configuration
—
no matched configuration
Not comparable
Mixtral 8x22B
140.63B (39B active)
—
no matched configuration
—
no matched configuration
Not comparable
Qwen3.5 122B-A10B
125.086B (10B active)
~11.8–17 t/s
Q5_K_M
~10.3–14.8 t/s
Q5_K_M
Framework Desktop (Ryzen AI Max+ 395, 128 GB) +15%
estimated · estimator_v1 · 8K context
Nemotron 3 Super 120B-A12B
123.611B (12B active)
~9.9–14.2 t/s
Q5_K_M
~8.6–12.4 t/s
Q5_K_M
Framework Desktop (Ryzen AI Max+ 395, 128 GB) +15%
estimated · estimator_v1 · 8K context
Mistral Small 4 119B-A6.5B
119.401B (6.5B active)
~18–25.9 t/s
Q5_K_M
~15.7–22.6 t/s
Q5_K_M
Framework Desktop (Ryzen AI Max+ 395, 128 GB) +15%
estimated · estimator_v1 · 8K context
gpt-oss-120b
116.829B (5.1B active)
34 t/s
MXFP4
32 t/s
MXFP4
Tie (6%)
measured · llama.cpp · 4K context
Mixtral 8x7B
46.703B (13B active)
—
no matched configuration
—
no matched configuration
Not comparable
Phi-3.5 MoE 42B-A6.6B
41.873B (6.6B active)
—
no matched configuration
—
no matched configuration
Not comparable
Hardware deltas are calculated only when quantization, runtime, exact context, execution/decode mode and relevant inference settings match. Measured and estimated results are never compared to each other. A difference under 10% is reported as a tie.
Best practical configuration
ModelFramework Desktop (Ryzen AI Max+ 395, 128 GB)GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)Practical result
DeepSeek-V4 Flash—
DS4 Q2 (mixed) · estimated
—
DS4 Q2 (mixed) · estimated
Both fit; configurations may differ
Mixtral 8x22B—
Q4_K_M · estimated
—
Q4_K_M · estimated
Both fit; configurations may differ
Qwen3.5 122B-A10B~13.8–19.9 t/s
Q4_K_M · estimated
~12–17.3 t/s
Q4_K_M · estimated
Both fit; configurations may differ
Nemotron 3 Super 120B-A12B~11.6–16.7 t/s
Q4_K_M · estimated
~10.1–14.5 t/s
Q4_K_M · estimated
Both fit; configurations may differ
Mistral Small 4 119B-A6.5B~21–30.2 t/s
Q4_K_M · estimated
~18.3–26.4 t/s
Q4_K_M · estimated
Both fit; configurations may differ
gpt-oss-120b30 t/s
MXFP4 · measured
32 t/s
MXFP4 · measured
Both fit; configurations may differ
Mixtral 8x7B—
Q8_0 · estimated
—
Q8_0 · estimated
Both fit; configurations may differ
Phi-3.5 MoE 42B-A6.6B—
Q8_0 · estimated
—
Q8_0 · estimated
Both fit; configurations may differ
This is a deployment comparison: each machine uses its own recommended configuration. Different quantizations can change speed and quality, so these figures are not raw hardware benchmarks.
Economics — United States (federal), C corporation, 8h/day
Framework Desktop (Ryzen AI Max+ 395, 128 GB)GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB)
Purchase price estimate$2,161$1,711
Reclaimable VAT$0$0
Net cash at purchase$2,161$1,711
Monthly depreciation$30.62$24.23
Monthly electricity$0.88 (6 kWh)$0.94 (7 kWh)
Tax programme§179 100.0%§179 100.0%
Tax-programme benefit$454$359
Monthly economic cost$27.89$22.27
Total over 5 years$1,673$1,336
Purchase prices are localized inputs in USD: tax/VAT excluded for Framework Desktop (Ryzen AI Max+ 395, 128 GB) and tax/VAT excluded for GMKtec EVO-X2 (Ryzen AI Max+ 395, 128 GB). Net cash and monthly economic cost then apply the selected United States (federal) / C corporation tax treatment. Tax assumptions last verified 2026-09-07. Federal planning estimate only, not tax advice. State and local income tax, sales/use tax and incentives are excluded. It assumes 100% business use, a Section 179 election, enough business income to use it, and that the full annual limit remains available.