
What happened
Keito ran Qwen3.8 Flash Next, a 125B model, on a Ryzen 5 5600X desktop with an RTX 3060 12GB and 96GB of RAM using the newly released inference engine Strata, reaching 50tok/s on update and 60tok/s after calibration.
Why it matters
A 125B model this writer says otherwise requires server-class hardware can now run on one person's desktop, and he reports the result is usable for Japanese, coding and daily work — though he still finds Claude and ChatGPT more accurate and reliable.
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The writer's test sits against a background he describes as rising graphics card prices, partly driven by local AI model use. His point is that models once confined to server-class GPUs now run on consumer hardware, which he frames as a shift in how people might use AI.
Within the same article, he also ran a second model, Qwen3.8 27B GSQ-RCO, on the identical PC via llama.cpp, reaching around 20tok/s. That comparison puts the Strata result in context: the engine, not just the model, is doing much of the work.
He adds a caveat from several days of use: local models are not yet a replacement for paid services. He suggests using them with a specific purpose in mind, such as handling confidential information or avoiding cloud outages, rather than as a general substitute.
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