OpenRouter Model Fusion lets users execute multiple language models in parallel, compare their outputs, and combine (fuse) the best parts into a single, higher-quality response. It analyzes model strengths and weaknesses, supports configurable fusion strategies, and integrates with the OpenRouter API to leverage dozens to hundreds of models. The feature improves answer reliability, reduces hallucinations by cross-checking outputs, and streamlines model selection by surfacing comparative metrics like confidence, latency, and cost.