SOURCE-LINKED INTELLIGENCE

SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

Large language model-based multi-agent systems are evolving from fixed interaction topologies toward dynamically orchestrated Agent Swarms. However, existing benchmarks are still largely based on single-agent or general-purpose agent tasks, making it difficult to systematically evaluate key orchestration capabilities. We propose SwarmBench, a benchmark that evaluates model performance from multiple perspectives, including accuracy, efficiency, cost, and process quality. Experimental results show that current models exhibit substantial differences in orchestration capability. These differences

Read original source ↗ Open in workspace

recordType

paper

region

Global