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This paper presents a task-specific two-agent architecture for multimodal question answering in the QANTA 2026 shared challenge, using GPT-4.1-mini for tossup questions with confidence calibration and GPT-4.1 for bonus questions with structured reasoning. The system achieved the highest overall leaderboard score, demonstrating the effectiveness of efficient reasoning strategies.