Opper

Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

Context Reasoning – mistral/mistral-medium-2508-eu Task | Opper AI

Input Tokens

650905

Output Tokens

11680

Duration

457476.474

Cost

0

Context

Input

Melisa and Oscar, are brothers who have asthma, when was their asthma first diagnosed?

Expected output

There is no information that Melisa and Oscar are siblings. The text only mentions that Oscar had mild seasonal asthma diagnosed around age 10, and there is no information about Melisa's asthma diagnosis.

Model output


    Oscar’s asthma was **first diagnosed at age 10** (around 2000–2001), as confirmed by historic pediatric records. There is **no evidence of an asthma diagnosis for Melisa** in the provided context; her symptoms were attributed to pneumonia, not asthma. If the assumption that both siblings have asthma is correct, only Oscar’s diagnosis timeline (age 10) is documented here.