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AI pricing is understood now but the token is still just a cost

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AI pricing is understood now but the token is still just a cost
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Open pretty much any AI pricing guide published since 2025 (including some of my old ones) and it starts the same way: pricing AI is the hardest, most unsolved problem in software and no one has figured it out.Well, I disagree by this point. The reason it still feels unsolved is one substitution people keep making, over and over and over again.Because you look at a token and that's considered the price.A token isn't a rpice.Yes, a token is what the model costs you to run an input. The output costs you more (output tokens run 3-8x input) and the outcome, the thing your customer wants from you, isn't measured in tokens at all.

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Open pretty much any AI pricing guide published since 2025 (including some of my old ones) and it starts the same way: pricing AI is the hardest, most unsolved problem in software and no one has figured it out.Well, I disagree by this point. The reason it still feels unsolved is one substitution people keep making, over and over and over again.Because you look at a token and that's considered the price.A token isn't a rpice.Yes, a token is what the model costs you to run an input. The output costs you more (output tokens run 3-8x input) and the outcome, the thing your customer wants from you, isn't measured in tokens at all.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Solvimon.

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