Sunk Cost sunkcost.ai Data checked 2026-09-03

Strix Halo GMKtec EVO-X2, 64GB vs Mac mini M5 Pro, 48GB for local AI

Both hold 35 of the 51 current models here. The GMKtec EVO-X2, 64GB costs $99 less. On Qwen3.8 27B, the strongest model both hold, the Mac mini M5 Pro, 48GB is about 1.2× faster: 12 tok/s against 10, both estimated from memory bandwidth. The Mac mini M5 Pro, 48GB pays for itself sooner, in 155 years against 168 years at 500k tokens a day.

Strix Halo GMKtec EVO-X2, 64GBMac mini M5 Pro, 48GB
Price$2,200$2,299
Memory64 GB48 GB
Usable by the GPU48 GB36 GB
Memory bandwidth256 GB/s307 GB/s
Power under load150 W140 Wstand-in
Models that fit3535
Best model it runsQwen3.8 27BQwen3.8 27B
Speed on that model10 tok/s estimated12 tok/s estimated
Pay-back on that modelPays back in 168 yearsPays back in 155 years

The 140 W beside the Mac mini M5 Pro, 48GB is a stand-in, not a figure for that machine: the data borrows it from the nearest hardware it does have, and the machine's own page names which and why. So the two figures above are not like for like, and the electricity in its pay-back here is priced from a borrowed number.

Run the numbers on the Strix Halo GMKtec EVO-X2, 64GB · or the Mac mini M5 Pro, 48GB

Jump to: The same money, two different machines · How much use it takes to pay back · The same models, not to the same length · The assumptions behind both columns

The same money, two different machines

These two cost within $99 of each other: $2,200 for the GMKtec EVO-X2, 64GB and $2,299 for the Mac mini M5 Pro, 48GB. GMKtec makes one and Apple the other. Every other head-to-head on this site holds a piece of the hardware equal and asks what the price gap buys. This one holds the price, so the row that usually carries the answer is the row the two machines agree on, and everything under it is what the same money buys twice.

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 Mac mini M5 Pro, 48GB pays back sooner at every level of use, so this is not a choice that turns on how hard you work it.

A day's useStrix Halo GMKtec EVO-X2, 64GBMac mini M5 Pro, 48GB
50ka few chats a day1,678 years1,549 years
200klight assistant use420 years387 years
1Ma moderate coding-assistant day84 years77 years
4Mheavy coding with an agent21 years19 years
20Magents running most of the day5.9 yearsits ceiling4.5 yearsits ceiling

On Qwen3.8 27B neither machine can generate 20M tokens a day: the Strix Halo GMKtec EVO-X2, 64GB manages at most 14.3M and the Mac mini M5 Pro, 48GB at most 17.1M. Both figures on that row are for the most each can do.

Run the Strix Halo GMKtec EVO-X2, 64GB at 20M tokens a day · or the Mac mini M5 Pro, 48GB

The same models, not to the same length

Every model on this list that fits one machine fits the other at 32k of context, so memory does not change what they run. What it changes is how far you can take the context on 4 of them. The Strix Halo GMKtec EVO-X2, 64GB has 48 GB usable against 36 GB, and spare memory is what the KV cache grows into as you keep more tokens.

ModelStrix Halo GMKtec EVO-X2, 64GBMac mini M5 Pro, 48GB
Gemma 4 31B it20 GB of weights256k128k
Qwen3-Coder 30B-A3B19 GB of weights256k128k
Ministral 3 8B5.2 GB of weights256k128k
Hy-Memory 30B-A3B18 GB of weights256k128k

Each figure is the longest context the calculator offers that the machine still holds that model at, and no model is taken past its own context limit. The other 47 models the calculator counts reach the same length on both machines, at every setting from 4k to 256k.

Run Gemma 4 31B it on the Strix Halo GMKtec EVO-X2, 64GB at 256k · or on the Mac mini M5 Pro, 48GB at 128k

The GMKtec EVO-X2, 64GB is also head to head with another computer: Framework Desktop, 64GB. With the same machine at another memory size: 128GB.

The Mac mini M5 Pro, 48GB is also head to head with another computer: MacBook Pro M5 (14-inch), 32GB. With the same machine at another memory size: 24GB · 64GB. With the machine it replaced: Mac mini M4 Pro, 48GB.

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. Change any of it in the calculator.

More head to head: everything the Strix Halo GMKtec EVO-X2, 64GB runs · everything the Mac mini M5 Pro, 48GB runs · every other match-up · the quickest pay-back at each level of use · every model against the frontier