A comparison of three recently released Mixture-of-Experts (MoE) models—Flint 40B-A2.5B, Ornith 1.5 35B-A3B, and Nemotron 3.5 Lightning—reveals significant performance differences. Flint 40B-A2.5B emerged as the fastest, completing a complex coding task in 7 minutes and 36 seconds, while Ornith 1.5 35B-A3B took 9 minutes and 4 seconds, and Nemotron 3.5 Lightning lagged considerably at 30 minutes and 32 seconds. Flint also demonstrated superior efficiency in terms of tokens processed and cost, with Opus 5.5 acting as the planner for all models. AI
IMPACT Highlights performance and cost differences between emerging MoE models, guiding user choice.
RANK_REASON Comparison of multiple open-source models on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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