AI Agent Teams Show Minimal Gains, High Costs, Research Finds

Teams of AI agents demonstrate barely measurable quality gains compared to solo agents, while incurring significantly higher costs, according to Vals AI research. In tests involving GPT-6 Sol and Claude Opus 5.5, only one out of four scenarios showed a discernible improvement in performance. Anthropic's data corroborates these findings, indicating that beyond ten agents, the quality of output plateaus, yet token costs continue to escalate. The research highlights that these multi-agent systems can cost up to 5.1 times more than single agents for these limited gains.