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.

Input Tokens

Output Tokens

Duration

Cost

Context

Input

Return the Re-examination of the patient admitted to the hospital 2025-05-20 at 09.10

Expected output

Temperature: 38.8°C, Pulse: 102 bpm, Respiratory Rate: 22/min, O2 Sat: 93% (room air), BP: 114/68, Appearance: Pale, visibly unwell, clutching left side with each cough, Auscultation: Clear crackles LLL (Left Lower Lobe), slightly diminished breath sounds in same area, Percussion: Dullness confirmed, CRP: 98 mg/L, CBC:, WBC: 13.7 x10⁹/L (elevated), Neutrophils: 9.6 x10⁹/L, ECG: Sinus tachycardia, no ischemia, Chest X-ray (STAT reading):, Infiltrate in left lower lobe, mild pleural effusion, Consistent with community-acquired pneumonia

Model output

The re-examination of Melisa Farrow on 2025-05-20 at 09:10 revealed a deterioration in her condition: temperature 38.8°C, pulse 102 bpm, respiratory rate 22/min, O2 saturation 93% on room air, and BP 114/68. She appeared pale and unwell, with increased pain on coughing and confirmed crackles and dullness in the left lower lobe. Lab results showed elevated CRP (98 mg/L) and WBC (13.7 x10⁹/L), and the chest X-ray showed an infiltrate in the left lower lobe with mild pleural effusion. These findings confirmed acute community-acquired pneumonia, leading to her admission to Danderyds Sjukhus at 10:15 AM for IV antibiotics and monitoring.