California – November 02, 2026 -- A local-inference benchmark on an AMD Strix Halo machine found that gemma-3-27b delivers a correct answer for 729 joules at 98% accuracy, while the faster, leaner trinity-nano needs 1,004 joules at 39% accuracy.

Southern California – October 14, 2026 -- The cheapest local language model for easy questions costs 37 times more per correct answer on hard questions, according to power-metered tests of 27 models on a Strix Halo system. The model, qwen3-30b-a3b-instruct, delivers right answers at 3.6 cents per thousand on easy work. On hard questions the price rises to $1.35 per thousand. Two other models in the 11-model comparison only doubled in cost over the same jump.