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Before 2028, will any AI model achieve the same or greater benchmarks as o3 high with <= 1 million tokens per question?
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Ṁ20022028
87%
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Specifically, the key benchmarks here are ARC, Codeforces elo, and Frontier Math score. The relevant scores are 2727 codeforces elo, 87.5% on arc semi-private, and 25.2% on Frontier Math.
The model must achieve these benchmarks while using no more than 1,000,000 reasoning tokens per question on average.
For context, o3 used 5.7B tokens per task to achieve its ARC score. It also scored 75.7% on low compute mode using 33M tokens per task.
https://arcprize.org/blog/oai-o3-pub-breakthrough
Also note that if the final version of o3 has improved or worsened benchmarks the goalposts will not change. The model must beat the benchmarks listed here.
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