Hybrid LLM Model Combining Jev and Opus Achieves 4x Cost Reduction in Identity Resolution

A hybrid LLM model combining Jev and Opus achieves frontier accuracy in identity resolution at 4x lower cost compared to standalone models. The study demonstrates decision models can match advanced LLMs like Opus with 6% accuracy gap while reducing costs by 90× and improving speed by 10×.

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