Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets

Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets explores This research demonstrates that single-agent LLMs can outperform multi-agent systems on complex reasoning tasks when computational resources are normalized, challenging the perceived benefits of multi-agent architectures.. Commercial viability score: 4/10 in LLM Agents.