IndicContextEval introduces a 56-hour multilingual benchmark featuring natural speech from 555 speakers across 8 Indian languages and 23 domains. It employs a 7-level prompting framework to progressively test context utilisation, including metadata, descriptions, and adversarial inputs. Evaluation of five models shows significant differences in contextual grounding, underscoring the need for explicit assessment of context use in AudioLLMs.