Framework Desktop vs HP Z2 Mini G1a, 128GB for local AI

The Framework Desktop, 128GB and the HP Z2 Mini G1a, 128GB are the same machine inside: Radeon 8060S, 40 CU, 128 GB of memory at 256 GB/s. Both hold 33 of the 39 open models here. The Framework Desktop, 128GB costs $2,095 less. On Qwen3.8 27B, the strongest model both hold, they run at much the same speed: 10 and 10 tok/s, both estimated from memory bandwidth. The Framework Desktop, 128GB pays for itself sooner, in 45 years against 73 years at 500k tokens a day.

Run the numbers on the Strix Halo Framework Desktop, 128GB · or the Strix Halo HP Z2 Mini G1a, 128GB

The same machine inside

Both have the same Radeon 8060S, 40 CU, the same 128 GB of memory and the same 256 GB/s to read it at, and both leave 96 GB of that memory to the GPU. What a machine holds is decided by that last figure, so they hold the same 33 models, and not only at 32k of context: across all 39 models the calculator counts, at every context from 4k to 256k, there is no model one holds and the other does not. They run those models at the same speed too: decoding reads the weights out of memory, and both read them at 256 GB/s. Their chips are not listed identically, Ryzen AI Max+ 395 · Radeon 8060S, 40 CU against Ryzen AI Max+ PRO 395 · Radeon 8060S, 40 CU, but the graphics part is the same on both and the graphics part is what runs the model.

So the whole question on this page is the $2,095 between them. The HP Z2 Mini G1a, 128GB costs that much more than the Framework Desktop, 128GB for the same models at the same speed, and every difference in pay-back on this page comes from that and nothing else. The power row is not two measurements: the HP Z2 Mini G1a, 128GB's 133 W is a stand-in borrowed from the nearest hardware the data has a figure for, so the two matching is a fact about the data rather than about the machines. This page still prices the electricity into both from those numbers. What else separates them is not something this site measures: it prices what a machine holds, how fast it runs it and what it draws, and everything from the case to the ports to the warranty is yours to weigh against the $2,095.

How much use it takes to pay back

Everything above is at 500k tokens a day. Pay-back moves with how much you actually run, so here are both machines on Qwen3.8 27B, the strongest model both hold, at the five levels of use the calculator names. The Strix Halo Framework Desktop, 128GB pays back sooner at every level of use, so this is not a choice that turns on how hard you work it.

On Qwen3.8 27B neither machine can generate 20M tokens a day: the Strix Halo Framework Desktop, 128GB manages at most 14.3M and the Strix Halo HP Z2 Mini G1a, 128GB at most 14.3M. Both figures on that row are for the most each can do.

Run the Strix Halo Framework Desktop, 128GB at 20M tokens a day · or the Strix Halo HP Z2 Mini G1a, 128GB

The assumptions behind both columns

Both columns use the same usage: 500k tokens a day at 15:1 input to output, 32k of context, $0.17 per kWh, and today's API prices held flat. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. Graphics cards are priced as the card alone, so add the PC around one before comparing it with a complete computer. Change any of it in the calculator.

More head to head: everything the Strix Halo Framework Desktop, 128GB runs · everything the Strix Halo HP Z2 Mini G1a, 128GB runs · every other match-up · the quickest pay-back at each level of use · every model against the frontier