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When OpenAI bring out itso3 “ reasoning ” AI modelin December , the companionship partner with the Maker of ARC - AGI , a bench mark designed to examine highly capable AI , to showcase o3 ’s capableness . Months later , the results have been revised , and they now look slightly less impressive than they did initially .

Last week , the Arc Prize Foundation , which maintains and administers ARC - AGI , updated its rough computing costs for o3 . The organisation originally estimated that the best - perform configuration of o3 it tested , o3 in high spirits , be around $ 3,000 to figure out a individual ARC - AGI job . Now the Arc Prize Foundation recollect that the cost is much gamey — maybe around $ 30,000 per task .

The revise is far-famed because it illustrates just how expensive today ’s most advanced AI models may terminate up being for certain task , at least ahead of time on . OpenAI has yet to terms o3 — or liberate it , even . But the Arc Prize Foundation believes OpenAI’so1 - pro modelpricing is a sensible proxy .

For context , o1 - pro is OpenAI ’s most expensive model to date .

“ We believe o1 - pro is a close comparison of true o3 cost   … due to amount of test - time compute used , ” Mike Knoop , one of the carbon monoxide gas - founder of the Arc Prize Foundation , told TechCrunch . “ But this is still a proxy , and we ’ve sustain o3 labeled as preview on our leaderboard to reflect the uncertainty until official pricing is announced . ”

A high Leontyne Price for o3 high would n’t be out of the inquiry , yield the amount of cipher resource the model reportedly uses . According to the Arc Prize Foundation , o3 high used 172x more computer science than o3 low , the lowest - cypher constellation of o3 , to harness ARC - AGI .

Moreover , rumors have been flying for quite some metre about pricey plans OpenAI is considering enclose for endeavor customer . In early March , The Informationreportedthat the company may be planning to agitate up to $ 20,000 per calendar month for specialized AI “ agent , ” like a software program developer agent .

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Some might argue that even OpenAI ’s priciest mannikin will be well under what a distinctive human declarer or staffer would command . But as AI investigator Toby Ordpointed out in a post on X , the manakin may not be as effective . For deterrent example , o3 high ask 1,024 attempts at each task in ARC - AGI to achieve its best score .