Analysis, methodology, and updates from the NeuralRating team.
AI companies love to show off colorful charts and massive scores. But logarithmic scales, hidden costs, and cherry-picked data mean these charts often hide the truth. Here is how to read them.
The cheapest model per token is often the most expensive one in production. Here is the real math behind AI cost — retry taxes, hidden billing traps, and the one metric that actually matters.
New Stanford, NBER, and Alibaba research confirms what practitioners suspected: benchmarks reward memorization, shortcuts, and irrelevant averages. Here are the eight problems — and how to read any benchmark critically.
