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Sparse MoE vs Dense Scaling: The Routing Tax Nobody Budgets

Sparse mixture-of-experts models are sold as a free lunch: keep the parameter count, activate a fraction of it per token, and the training bill falls without the quality falling. The FLOP arithmetic is correct. The system arithmetic is not, because a token that is routed to one of eight experts has…

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  1. 2026-11-05 19:31 · DEV Community — Machine Learning
    Sparse MoE vs Dense Scaling: The Routing Tax Nobody Budgets

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