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OpenAI Rolls Back ChatGPT’s Model Router System for Most Users

content@helloomylife.com by content@helloomylife.com
December 16, 2025
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OpenAI Rolls Back ChatGPT’s Model Router System for Most Users
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OpenAI has quietly reversed a serious change to how a whole bunch of tens of millions of individuals use ChatGPT.

On a low-profile blog that tracks product changes, the corporate stated that it rolled again ChatGPT’s mannequin router—an automatic system that sends sophisticated person inquiries to extra superior “reasoning” fashions—for customers on its Free and $5-a-month Go tiers. As an alternative, these customers will now default to GPT-5.2 Prompt, the quickest and cheapest-to-serve model of OpenAI’s new mannequin collection. Free and Go customers will nonetheless have the ability to entry reasoning fashions, however they must choose them manually.

The mannequin router launched simply 4 months in the past as a part of OpenAI’s push to unify the person expertise with the debut of GPT-5. The characteristic analyzes person questions earlier than selecting whether or not ChatGPT solutions them with a fast-responding, cheap-to-serve AI mannequin or a slower, dearer reasoning AI mannequin. Ideally, the router is meant to direct customers to OpenAI’s smartest AI fashions precisely once they want them. Beforehand, customers accessed superior programs via a complicated “mannequin picker” menu; a characteristic that CEO Sam Altman said the company hates “as much as you do.”

In observe, the router appeared to ship many extra free customers to OpenAI’s superior reasoning fashions, that are dearer for OpenAI to serve. Shortly after its launch, Altman stated the router elevated utilization of reasoning fashions amongst free customers from lower than 1 % to 7 %. It was a pricey wager geared toward enhancing ChatGPT’s solutions, however the mannequin router was not as broadly embraced as OpenAI anticipated.

One supply acquainted with the matter tells WIRED that the router negatively affected the corporate’s each day energetic customers metric. Whereas reasoning fashions are broadly seen because the frontier of AI efficiency, they will spend minutes working via advanced questions at considerably larger computational value. Most customers don’t wish to wait, even when it means getting a greater reply.

Quick-responding AI fashions proceed to dominate on the whole client chatbots, in line with Chris Clark, the chief working officer of AI inference supplier OpenRouter. On these platforms, he says, the pace and tone of responses are typically paramount.

“If any person varieties one thing, after which you must present pondering dots for 20 seconds, it’s simply not very partaking,” says Clark. “For basic AI chatbots, you’re competing with Google [Search]. Google has all the time targeted on making Search as quick as doable; they have been by no means like, ‘Gosh, we must always get a greater reply, however do it slower.’”



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