Model Releases
More agents don't mean higher performance. There is a coordination bottleneck to consider. Not to mention the unnecessary costs. So how many…
More agents don't mean higher performance. There is a coordination bottleneck to consider. Not to mention the unnecessary costs. So how many of a multi-agent team's actions actually help it finish the
More agents don't mean higher performance. There is a coordination bottleneck to consider. Not to mention the unnecessary costs. So how many of a multi-agent team's actions actually help it finish the task? In this AgentWorld paper, fewer than a third. AgentWorld puts 3 to 20 LLM agents with different roles into a game sandbox for tasks that run 50+ rounds. Agents can't see each other's internal state, so they have to coordinate through messages and shared plans. Gemini 3 Flash has the highest task success at 52.0%. Coordination tasks are the hardest category, at 12% success, and common failures include communication breakdowns, role confusion, and lost shared plans. Paper: https://arxiv.org/abs/2609.31590 Chat with Paper: https://academy.dair.ai/papers/agentworld-benchmarking-long-horizon-collaboration-of-multi-agent-llms-2609.31590
Source: DAIR.AI (X) | 2026-10-02