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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
TL;DR · WeSearch summary

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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2 outlets in our directory ran this story, first to last over 13 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,323 of its stories.

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Solvimon
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Record

Original publisherSolvimon
Canonical URLhttps://www.solvimon.com/blog/ai-pricing-is-understood-now-2026
Publication timeSat, 25 Jul 2026 20:49:07 +0000
Retrieval time2026-07-25T20:52:32.416Z
Last seen2026-07-25T20:52:32.416Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterWr0IOuFPJLAg · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

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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