Translation: Some models make predictions such as words or numbers that can be unclear or incorrect. A reasoning model uses a more structured approach to produce a more accurate answer instead of trying to produce the answer in one step. For example, when asked the total number of fruits if we have five apples, three bananas, and two oranges, a typical model might give the statistically most likely answer, which could be wrong. A reasoning model would add five and three to make eight, then add two to make ten. This step-by-step approach is more likely to produce a correct and reliable answer.