Insiders LLM Bench­mar­king May 2025

With Insiders LLM Bench­mar­king, we as AI experts keep an eye on the LLM world, compare the most powerful models, and offer our customers reliable guidance in the fast-paced LLM jungle.

Insiders LLM bench­mar­king is entering the next round: Building on the first com­pre­hen­sive per­for­mance com­pa­rison, we have further developed our approach and intro­duced new dimen­sions. While the first bench­mar­king focused primarily on pure per­for­mance in the areas of infor­ma­tion clas­si­fi­ca­tion and extra­c­tion, we now also take into account speed, data pro­tec­tion, and relative cost structure—decisive criteria for pro­duc­tive use in the IDP envi­ron­ment. What does LLM bench­mar­king at Insiders mean? The bench­mar­king was based on a stan­dar­dized IDP data set with real documents from the insurance and finance world – including a new use case: claims invoices. This ensures that the results are directly trans­ferable to our customers‘ requi­re­ments. Our AI experts regularly analyze and evaluate the most powerful models on the rapidly changing global tech­no­logy market and identify those LLMs that are best suited for the data-to-process area. Insiders LLM bench­mar­king is a con­ti­nuous process that drives the best-of-breed approach. This allows Insiders to keep track of the per­for­mance of the latest LLMs and ensure that its customers always use the best possible solution for their needs with the flexible LLM inte­gra­tion of the Insiders OvAItion Engine. This enables AI to be used sensibly and securely in the enter­prise. The new bench­mar­king also shows that the question of “the best LLM” is not a black-and-white issue. Per­for­mance alone is not enough. In highly regulated indus­tries such as insurance and finance, relia­bi­lity, data pro­tec­tion, and inte­gra­tion capa­bi­li­ties are also key factors.

For indi­vi­dual use cases, Insiders AI experts offer sound advice for your company. We would be happy to include your data in an upcoming industry-specific bench­mar­king exercise. Simply contact our Insiders AI experts to find out more.