Outperform frontier models with Merge Fusion

Merge introduces Fusion, a novel approach to AI model integration that leverages a panel of models to deliver superior answers at a fraction of the cost of frontier models. Fusion operates by sending a prompt to multiple models, each working independently, and then synthesizes their outputs using a judge model to create a unified response. This system capitalizes on the varying insights from different models, even when they agree, to enhance the quality of the final answer. Fusion has demonstrated exceptional performance on the DRACO benchmark, outperforming individual models and offering frontier quality at significantly reduced costs. It is particularly advantageous for tasks where answer quality is prioritized over latency, such as deep research and high-stakes decision-making in fields like legal and medical compliance. While it may not be suited for real-time, high-volume applications, Fusion provides a cost-effective alternative to single frontier models, ensuring continuity of service even if individual providers face disruptions.

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