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OpenAI’s record-breaking test score might have cost $30,000 per puzzle

In December, OpenAI CEO Sam Altman announced that its new o3 “reasoning” model had, for the first time, achieved a winning score on the ARC-AGI benchmark, a notoriously difficult test that had stumped all prior AI models.

But that power came at a steep price. The ARC Foundation (which maintains the test) estimated that the price for the “high compute” configuration of the winning test was about $3,400 per puzzle.

But OpenAI has not yet released the computing costs of its winning tests.

Last week, the ARC Foundation updated its leaderboard of test results, and o3’s winning score was no longer on the chart:

“Only systems which required less than $10,000 to run are shown. Notably missing from this chart is o3 (high compute). For more information on this see our announcement blog post.”

The ARC Foundation thinks the actual o3 costs are more in line with the superexpensive o1-pro model, which is the most expensive in the industry. Based on the sky-high pricing of the o1-pro model, that means it may have cost up to $30,000 of computation to solve each puzzle. The ARC Foundation wrote:

“o3 pricing costs have been updated to use o1-pro pricing. We will update again once official o3 pricing is publicly available. The amount of compute was roughly 172x the low-compute configuration.”

OpenAI did not immediately respond to a request for comment.

But that power came at a steep price. The ARC Foundation (which maintains the test) estimated that the price for the “high compute” configuration of the winning test was about $3,400 per puzzle.

But OpenAI has not yet released the computing costs of its winning tests.

Last week, the ARC Foundation updated its leaderboard of test results, and o3’s winning score was no longer on the chart:

“Only systems which required less than $10,000 to run are shown. Notably missing from this chart is o3 (high compute). For more information on this see our announcement blog post.”

The ARC Foundation thinks the actual o3 costs are more in line with the superexpensive o1-pro model, which is the most expensive in the industry. Based on the sky-high pricing of the o1-pro model, that means it may have cost up to $30,000 of computation to solve each puzzle. The ARC Foundation wrote:

“o3 pricing costs have been updated to use o1-pro pricing. We will update again once official o3 pricing is publicly available. The amount of compute was roughly 172x the low-compute configuration.”

OpenAI did not immediately respond to a request for comment.

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Prediction markets have, predictably, been given a boost by the summer of sports

Major platforms like Kalshi and Polymarket have seen huge upticks in users of late, thanks in no small part to what’s felt like a recent sporting smorgasbord, with major competitions across hockey, basketball, and soccer soaking up fans’ time (and spending, clearly) at the outset of summer.

While gaming industry groups may not like it, there’s been a huge change in the methods people are using to put money on the big games, with everyone from fortunate NYC bar owners, to a far less fortunate Spanish supporter, turning to prediction markets to try and turn their sports know-how into cold, hard cash.

According to a new report from Adam Blacker for apptopia, that shift might have been even more seismic than imagined in the wake of the NBA and NHL finals and around the 2026 World Cup kicking off.

While gaming industry groups may not like it, there’s been a huge change in the methods people are using to put money on the big games, with everyone from fortunate NYC bar owners, to a far less fortunate Spanish supporter, turning to prediction markets to try and turn their sports know-how into cold, hard cash.

According to a new report from Adam Blacker for apptopia, that shift might have been even more seismic than imagined in the wake of the NBA and NHL finals and around the 2026 World Cup kicking off.

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Anthropic pulls Fable and Mythos access worldwide after Trump administration bars their use by foreign nationals

Only days after releasing two versions of its next-gen AI model, Anthropic has disabled them for users worldwide.

Anthropic says it received a Friday night order from the Trump administration to suspend access to the models for any foreign national (anywhere in the world) — a group that included some Anthropic employees. In response, the company turned off access to everyone.

Last week, the company released to the public its much-anticipated Claude Fable 5 model (and its restricted version Claude Mythos 5, which is still being tested with trusted partners). Anthropic said in a blog post announcing the action that officials cited national security concerns with the new models, while offering few specific details.

The post said that the government gave the company “verbal evidence of a potential narrow, non-universal jailbreak” of the public Fable 5 model. A jailbreak is a means by which users can evade restrictions built into the code to unlock prohibited functionality. Anthropic downplayed the significance of the attack, and said other major models, such as OpenAI’s GPT-5.5, could also be affected by the technique described.

Fears of these first Mythos-class models being misused are running high, after Anthropic warned the cybersecurity world in May that the advanced cyber capabilities of Mythos have rapidly discovered thousands of vulnerabilities in ubiquitous software, leading to the decision to restrict the full version of the model to a close group of trusted partners for testing.

This morning, Axios reported that Anthropic technical staff have flown to Washington to meet with White House officials to resolve the issue.

The Wall Street Journal is reporting that the Trump administration’s decision to take action against Anthropic was prompted by discussions that Amazon CEO Andy Jassy had with officials, including Treasury Secretary Scott Bessent. According to the report, Amazon researchers said they had been able to evade some of Fable 5’s security restrictions using specific prompts. Amazon is a major investor in Anthropic.

Anthropic is currently suing the US government to fight the Pentagon’s blacklisting of the company on national security grounds.

Last week, the company released to the public its much-anticipated Claude Fable 5 model (and its restricted version Claude Mythos 5, which is still being tested with trusted partners). Anthropic said in a blog post announcing the action that officials cited national security concerns with the new models, while offering few specific details.

The post said that the government gave the company “verbal evidence of a potential narrow, non-universal jailbreak” of the public Fable 5 model. A jailbreak is a means by which users can evade restrictions built into the code to unlock prohibited functionality. Anthropic downplayed the significance of the attack, and said other major models, such as OpenAI’s GPT-5.5, could also be affected by the technique described.

Fears of these first Mythos-class models being misused are running high, after Anthropic warned the cybersecurity world in May that the advanced cyber capabilities of Mythos have rapidly discovered thousands of vulnerabilities in ubiquitous software, leading to the decision to restrict the full version of the model to a close group of trusted partners for testing.

This morning, Axios reported that Anthropic technical staff have flown to Washington to meet with White House officials to resolve the issue.

The Wall Street Journal is reporting that the Trump administration’s decision to take action against Anthropic was prompted by discussions that Amazon CEO Andy Jassy had with officials, including Treasury Secretary Scott Bessent. According to the report, Amazon researchers said they had been able to evade some of Fable 5’s security restrictions using specific prompts. Amazon is a major investor in Anthropic.

Anthropic is currently suing the US government to fight the Pentagon’s blacklisting of the company on national security grounds.

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