While the cost per million tokens for AI models has decreased significantly, the actual cost for users has remained flat. This is because cheaper models are being re-run multiple times to achieve a completed step, negating the per-token savings. The author suggests that cost per completed step is a more relevant metric than cost per token, as it better reflects the true expense and efficiency of using these models. AI
IMPACT Suggests that true AI operational costs may be higher than advertised token prices, impacting budgeting and efficiency metrics.
RANK_REASON The item is a user's commentary on AI model pricing and efficiency, not a primary release or significant industry event.
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