AI models are becoming outdated at record speed — so what does that mean for the tokens that companies are spending millions on?
Pro AI models are becoming outdated at record speed — so what does that mean for the tokens that companies are spending millions on? News By Christian Cawley Published 28 September 2026 AI churn ditches old models quickly When you purchase through links on our site, we may earn an affiliate commission. But upstart models, such as TypeSafe AI’s Jev, are also having an impact.Latest Videos FromTechRadarWatch full video here: Token price downDate from the AI Gateway Production Index shows us that the average price per token has dropped, for the third month in succession, this time by 23.2%.
- ▪Pro AI models are becoming outdated at record speed — so what does that mean for the tokens that companies are spending millions on?
- ▪News By Christian Cawley Published 28 September 2026 AI churn ditches old models quickly When you purchase through links on our site, we may earn an affiliate commission.
- ▪But upstart models, such as TypeSafe AI’s Jev, are also having an impact.Latest Videos FromTechRadarWatch full video here: Token price downDate from the AI Gateway Production Index shows us that the average price per token has dropped, for
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| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/ai-models-are-becoming-outdated-at-record-speed-so-what-does-that-mean-for-the-tokens-that-companies-are-spending-millions-on |
| Publication time | Mon, 28 Sep 2026 18:05:00 +0000 |
| Retrieval time | 2026-09-28T18:21:44.492Z |
| Last seen | 2026-09-28T18:21:44.492Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | NU14mPt6Hb5o · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
Pro AI models are becoming outdated at record speed — so what does that mean for the tokens that companies are spending millions on? News By Christian Cawley Published 28 September 2026 AI churn ditches old models quickly When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Shutterstock) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter AI models are becoming quickly outdated as they’re replaced with newer versionsMost AI tokens are used on models available for less than four monthsOpen-weight models are now more popular than closed AI modelsNew data from Vercel’s AI Gateway…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.
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