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 – anthropic/claude-3.7-sonnet Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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Context

Input

The author, makes an entry every week, true or false?

Expected output

False

Model output

False. The author does not make an entry every week. The dates of the journal entries show significant gaps of months and even years between entries. In the October 3, 2002 entry, the author explicitly acknowledges this by stating "It's been ages since I last opened this journal" and mentioning that they "haven't written in here much these past years." The entries span from 1995 to 2004 with only four dated entries during that nine-year period.