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-opus-4 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

Which patient had to be accepted in the hospital?

Expected output

Melisa Farrow

Model output

Melisa Farrow had to be accepted in the hospital. She was admitted to Danderyds Sjukhus on May 20, 2025, for acute community-acquired pneumonia of the left lower lobe with pleuritic chest pain. Her admission was necessary due to worsening symptoms including fever (38.8°C), decreased oxygen saturation (93%), and confirmed pneumonia on chest X-ray. She received inpatient treatment with IV antibiotics and oxygen support for 3 days before being discharged on May 23, 2025.