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OpenAI's GPT 5.6 Sol data shows adding agents to an AI swarm yields only about half the capability gain of extending a single agent's chain of thought for the same compute. A 10,000-agent swarm solved a Navier-Stokes problem in 88 hours for an estimated $20 million, but scaling swarms 100x matches just 3x to 5x single-agent token scaling.
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