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.

100
Duration
12s
Input Tokens
7477
Output Tokens
970
Cost
$0.00
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
RE-EXAMINATION — 2025-05-20 @ 09:10
	•	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