Beat GPT-5.6 Sol on Retrieval With 100x Cheaper Open Models

A published tutorial outlines a method to build a retrieval pipeline that reportedly outperforms OpenAI’s flagship GPT-5.6 Sol on document retrieval at a cost said to be 100 times lower. The technique relies on separating the retrieval and generation tasks, using small, open-source models for the former and reserving the powerful frontier model for the final synthesis step.