HomeOpenAI's o3 Model Potentially More Expensive to Operate Than Initially Thought
When OpenAI introduced its o3 "reasoning" AI model back in December, they teamed up with the creators of ARC-AGI, a benchmark designed to push the limits of AI capabilities, to demonstrate what o3 could do. Fast forward a few months, and the results have been tweaked, showing that o3's performance might not be as dazzling as we first thought.
Just last week, the Arc Prize Foundation, which oversees ARC-AGI, revised their estimates on the computing costs for o3. Initially, they figured that the top-performing version of o3, dubbed o3 high, would set you back about $3,000 to crack a single ARC-AGI problem. But now, they're thinking it's more like $30,000 per task. That's a hefty jump!
This revision sheds light on just how pricey cutting-edge AI models can be, especially in the early stages. OpenAI hasn't put a price tag on o3 yet, nor have they released it to the public. However, the Arc Prize Foundation suggests that the pricing of OpenAI's o1-pro model could give us a rough idea of what to expect.
For some context, o1-pro is currently OpenAI's most expensive model on offer.
Mike Knoop, a co-founder of the Arc Prize Foundation, shared with TechCrunch, "We believe o1-pro is a closer comparison of true o3 cost ... due to the amount of test-time compute used. But this is still a proxy, and we've kept o3 labeled as preview on our leaderboard to reflect the uncertainty until official pricing is announced."
Given the massive computing power o3 high reportedly requires, a high price tag wouldn't come as a shock. According to the Arc Prize Foundation, o3 high gobbled up 172 times more computing resources than o3 low, the least demanding version of o3, just to take on ARC-AGI tasks.
There's also been a lot of buzz about OpenAI's potential pricing plans for enterprise clients. Back in early March, The Information reported that OpenAI might be looking to charge up to $20,000 a month for specialized AI "agents," like a software developer agent.
Some might argue that even OpenAI's most expensive models are still a bargain compared to what you'd pay a human contractor or employee. But as AI researcher Toby Ord pointed out on X, these models might not be as efficient as we'd hope. For instance, o3 high needed a whopping 1,024 tries at each task in ARC-AGI to hit its best score.
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Comments (47)
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![DanielWalker]()
Les coûts d'exploitation de l'IA montent en flèche... OpenAI nous présente o3 comme une révolution, mais à quel prix ? Entre les benchmarks ajustés et la consommation énergétique, on dirait une course à l'armement technologique 🚀. Est-ce que ces modèles 'raisonnants' vont vraiment bénéficier au grand public ou juste aux géants tech ?
![DavidGonzález]()
Wow, o3's higher costs are a bit of a shocker! 🤯 I wonder if OpenAI expected this or if it’s just the price of pushing AI boundaries. Curious to see how this impacts their pricing for users.
![JeffreyThomas]()
El modelo o3 parecía prometedor al principio, pero ahora está claro que es un poco caro! 😅 Aún así, las capacidades de razonamiento son impresionantes, aunque desearía que fuera más rentable. ¿Quizás OpenAI encuentre una manera de hacerlo más asequible pronto? 🤞
![LawrenceJones]()
El modelo o3 de OpenAI parecía prometedor al principio, pero los costos operativos son un verdadero fastidio. Es como comprar un coche deportivo y luego darte cuenta de que no puedes pagar la gasolina. Aún así, las mejoras de rendimiento son impresionantes, pero ojalá encontraran una manera de hacerlo más asequible. ¿Alguien más siente la presión? 😅
![BrianLewis]()
The o3 model seemed promising at first, but now it's clear it's a bit of a money pit! 😅 Still, the reasoning capabilities are impressive, though I wish it was more cost-effective. Maybe OpenAI will figure out a way to make it more affordable soon? 🤞
![PeterSanchez]()
Le modèle o3 d'OpenAI semblait prometteur au début, mais maintenant il s'avère plus coûteux à exploiter que prévu. J'étais enthousiaste pour les capacités de raisonnement avancées, mais le coût... Ouf ! Peut-être est-il temps pour OpenAI de repenser leur stratégie de tarification. 🤔
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Les coûts d'exploitation de l'IA montent en flèche... OpenAI nous présente o3 comme une révolution, mais à quel prix ? Entre les benchmarks ajustés et la consommation énergétique, on dirait une course à l'armement technologique 🚀. Est-ce que ces modèles 'raisonnants' vont vraiment bénéficier au grand public ou juste aux géants tech ?
Wow, o3's higher costs are a bit of a shocker! 🤯 I wonder if OpenAI expected this or if it’s just the price of pushing AI boundaries. Curious to see how this impacts their pricing for users.
El modelo o3 parecía prometedor al principio, pero ahora está claro que es un poco caro! 😅 Aún así, las capacidades de razonamiento son impresionantes, aunque desearía que fuera más rentable. ¿Quizás OpenAI encuentre una manera de hacerlo más asequible pronto? 🤞
El modelo o3 de OpenAI parecía prometedor al principio, pero los costos operativos son un verdadero fastidio. Es como comprar un coche deportivo y luego darte cuenta de que no puedes pagar la gasolina. Aún así, las mejoras de rendimiento son impresionantes, pero ojalá encontraran una manera de hacerlo más asequible. ¿Alguien más siente la presión? 😅
The o3 model seemed promising at first, but now it's clear it's a bit of a money pit! 😅 Still, the reasoning capabilities are impressive, though I wish it was more cost-effective. Maybe OpenAI will figure out a way to make it more affordable soon? 🤞
Le modèle o3 d'OpenAI semblait prometteur au début, mais maintenant il s'avère plus coûteux à exploiter que prévu. J'étais enthousiaste pour les capacités de raisonnement avancées, mais le coût... Ouf ! Peut-être est-il temps pour OpenAI de repenser leur stratégie de tarification. 🤔
