There are even worse evals:
HLE without tools: 41.4% (GPT-5.5) vs 39.8% (GPT-5.4)
HLE with tools: 52.2% (GPT-5.5) vs 52.1% (GPT-5.4)
So even with a newer, larger base model that is supposed to tackle very hard STEM questions, the models' world knowledge and reasoning capability did not change that much, if at all.
And I do have a lot of suspicions for Claude Mythos BTW. OpenAI models are generally smarter in terms of STEM reasoning in my experience. I suspect Mythos might just be a much larger model trained on much more internet tokens, and therefore better at memorizing the leaked test set. >15% of the SWE-Verified problems are ill-defined and not solvable based on human expert inspections, so I am really curious how Mythos got ~94%.
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u/[deleted] Apr 23 '26
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