ChatGPT Just Topped Japan’s University Entrance Exams and It is Concerning for Education Industry
In Focus
- ChatGPT scored close to 97% across 15 subjects on Japan’s standardized university entrance exams
- Perfect marks in math, chemistry, and informatics
- Lagged at around 90% in the Japanese language section
- Raises real questions about what standardized tests are actually measuring
ChatGPT was recently run through Japan’s university entrance exams and scored roughly 97% accuracy across 15 subjects. That’s not a marginal improvement. The model got full marks in mathematics, chemistry, and informatics. The Japanese language section was where it stumbled, coming in around 90%, which still clears most human averages.
Strong on Logic, Weaker on Language
The math and science results aren’t surprising at this point. Structured problem-solving is where AI has always looked most capable. What makes these results worth paying attention to is the test context: no internet access, no retrieval, just the model’s trained knowledge against exam conditions.
That’s a meaningful distinction. It means the scores reflect what the model actually knows rather than what it can look up. And across most of the exam, it knew enough to beat the average applicant.
The Japanese language gap is the more interesting data point. Roughly 90% accuracy sounds high, but the same model that aced calculus struggled with sentence construction in its target test language. That’s the kind of asymmetry that matters if you’re trying to use these results to draw broader conclusions about AI capability.
What’s Changed From Previous Years
According to Kyodo News, this isn’t ChatGPT’s first time taking Japan’s entrance exams. Earlier attempts produced significantly lower scores. The jump to near-perfect performance across most subjects highlights real, fast progress in academic reasoning.
AI’s scores at the Kyoto University exam confirm that these models are moving fast in academic domains and that pace is the part educators should probably be paying closer attention to.
What it Means for Testing and Education
The obvious implication is that standardized exams, at least the kind with fixed answer sets and structured reasoning, can no longer function as a reliable measure of human knowledge. If an AI model without internet access can outscore students, the exam isn’t measuring what it used to measure.
Satoshi Kurihara, Professor at Keio University and Head of the Japanese Society for Artificial Intelligence, puts it simply: “Just as calculators can perform calculations faster and more accurately than humans can, it is only natural for AI to earn high scores.”
Kurihara’s own view is that humans retain the edge when it comes to creating new value, not executing known tasks faster, but generating ideas. That’s also the most defensible argument for why entrance exams should shift toward measuring those capacities instead of optimizing for the ones AI has already matched.
