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-4.1 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 (Internal Medicine Ward) on May 20th, 2025, after her community-acquired pneumonia symptoms worsened overnight, including fever, low oxygen saturation (93%), and confirmed left lower lobe pneumonia on chest X-ray. She received inpatient treatment with IV antibiotics and oxygen support before being discharged on May 23rd.