Earlier quoted context omitted.
according to openai, the least likely model to hallucinate is gpt-5-thinking-mini, and it hallucinates 26% of the time. You're not so bad at hallucinating, yourself. We find that gpt-5-main has a hallucination rate (i.e., percentage of factual claims that contain minor or major errors) 26% smaller than GPT-4o ... That's the only reference to "26%" that I see in the model card.
I get that in the age of AI, you didn't want to read the data i linked; that's fine. your ctrl-f search found a reference to 26%. However, on page thirteen, the rate is described as 0.26; I interpreted that as 26% because it's cross referenced in the blog post that i also linked.
On some classes of queries, weak models will hallucinate closer to 100% of the time. One of my favorite informal benchmarks is to throw a metaphorical dart at a map and ask what's special about the smallest town nearby. That's a good trick if you want to observe genuine progress being made in the latest models.
On other tasks, typically the ones that matter, hallucination rates are approaching zero. Not quickly enough for my preference, but the direction is clear enough.