OpenRouter Fusion routes hard prompts through a model panel for higher-quality answers

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OpenRouter published a Fusion explainer on September 10, 2026, detailing a compound inference system that sends a single prompt to multiple models in parallel before a judge synthesizes a final response. The pipeline runs in four stages: the calling model decides whether to escalate, a panel of one to eight models answers simultaneously, a judge analyses consensus and contradictions, and the calling model produces the final output. Fusion differs from auto-routing, which selects just one model, by forcing a structured comparison across multiple reasoning paths before synthesis. The trade-off is significant — a default three-model panel costs roughly four to five times more and takes two to three times longer than a single completion, making it unsuitable for chat or real-time interactive use. OpenRouter recommends encoding escalation rules in version-controlled configuration rather than leaving such decisions to ad-hoc agent behaviour at runtime.

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