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Mmastodon TechnologySoftware first seen 18 h ago, last 16 h ago, peak #11

When the cheaper LLM stops being the cheaper option

Original: Most LLM cost comparisons collapse a model to one number: $X per million input tokens. That number is... # llm # ai # ap

Developers are debating a flaw in how large language model costs are compared: the standard price per million input tokens hides caching effects. When providers discount repeated context, a nominally pricier model can become cheaper over real workloads once cached-prefix pricing kicks in, meaning the headline rate alone can mislead teams choosing between APIs.

Why now: A technical post on the cached-prefix crossover in LLM API pricing has struck a chord with developers weighing model costs.

LLMsAI API providers

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Rank over time, top of the chart is #1. 2 snapshots from 18 h ago to 16 h ago.

Evidence

API: https://socialmediatrends-api.osmike.com/v1/trends/1777877