A Mixture of Agents (MoA) architecture uses three proposer agents and one aggregator. What is the key advantage of MoA over a single agent for reasoning tasks?
Answer: The aggregator sees independent proposals from different perspectives, enabling it to select, combine, and refine across the full proposal space
MoA's key advantage is perspective diversity: independent proposers generate candidate responses from different framings, and the aggregator synthesizes across the full proposal space. On reasoning tasks where different framings reveal different insights, this consistently outperforms single agents. MoA is not inherently faster — the proposers run in parallel but the aggregator adds a serial step. Token costs are typically higher, not lower. Hallucinations are reduced but not eliminated.