[et_pb_section fb_built=\u201e1\u201c _builder_version=\u201e4.16\u201c custom_padding=\u201e0px||0px||true\u201c da_disable_devices=\u201eoff|off|off\u201c locked=\u201eoff\u201c global_colors_info=\u201c{}\u201c da_is_popup=\u201eoff\u201c da_exit_intent=\u201eoff\u201c da_has_close=\u201eon\u201c da_alt_close=\u201eoff\u201c da_dark_close=\u201eoff\u201c da_not_modal=\u201eon\u201c da_is_singular=\u201eoff\u201c da_with_loader=\u201eoff\u201c da_has_shadow=\u201eon\u201c][et_pb_row _builder_version=\u201e4.27.4\u201c custom_padding=\u201e0px||||false|false\u201c global_colors_info=\u201c{}\u201c][et_pb_column type=\u201e4_4\u201c _builder_version=\u201e4.16\u201c custom_padding=\u201c|||\u201c global_colors_info=\u201c{}\u201c custom_padding__hover=\u201c|||\u201c][et_pb_post_title author=\u201eoff\u201c date=\u201eoff\u201c categories=\u201eoff\u201c comments=\u201eoff\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c title_font=\u201c|800|||||||\u201c global_colors_info=\u201c{}\u201c][\/et_pb_post_title][et_pb_text _builder_version=\u201e4.27.4\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c saved_tabs=\u201eall\u201c locked=\u201eoff\u201c global_colors_info=\u201c{}\u201c]<\/p>\n
With Insiders LLM Bench\u00admar\u00adking, 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.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c global_colors_info=\u201c{}\u201c]<\/p>\n Insiders LLM bench\u00admar\u00adking is entering the next round: Building on the first com\u00adpre\u00adhen\u00adsive per\u00adfor\u00admance com\u00adpa\u00adrison, we have further developed our approach and intro\u00adduced new dimen\u00adsions. While the first bench\u00admar\u00adking focused primarily on pure per\u00adfor\u00admance in the areas of infor\u00adma\u00adtion clas\u00adsi\u00adfi\u00adca\u00adtion and extra\u00adc\u00adtion, we now also take into account speed, data pro\u00adtec\u00adtion, and relative cost structure\u2014decisive criteria for pro\u00adduc\u00adtive use in the IDP envi\u00adron\u00adment. What does LLM bench\u00admar\u00adking at Insiders mean? The bench\u00admar\u00adking was based on a stan\u00addar\u00addized IDP data set with real documents from the insurance and finance world \u2013 including a new use case: claims invoices. This ensures that the results are directly trans\u00adferable to our customers\u2018 requi\u00adre\u00adments. Our AI experts regularly analyze and evaluate the most powerful models on the rapidly changing global tech\u00adno\u00adlogy market and identify those LLMs that are best suited for the data-to-process area. Insiders LLM bench\u00admar\u00adking is a con\u00adti\u00adnuous process that drives the best-of-breed approach. This allows Insiders to keep track of the per\u00adfor\u00admance of the latest LLMs and ensure that its customers always use the best possible solution for their needs with the flexible LLM inte\u00adgra\u00adtion of the Insiders OvAItion Engine. This enables AI to be used sensibly and securely in the enter\u00adprise. The new bench\u00admar\u00adking also shows that the question of \u201cthe best LLM\u201d is not a black-and-white issue. Per\u00adfor\u00admance alone is not enough. In highly regulated indus\u00adtries such as insurance and finance, relia\u00adbi\u00adlity, data pro\u00adtec\u00adtion, and inte\u00adgra\u00adtion capa\u00adbi\u00adli\u00adties are also key factors.<\/p>\n [\/et_pb_text][et_pb_button button_url=\u201ehttps:\/\/insiders.next-kmu.de\/wp-content\/uploads\/2025\/12\/Onepager_PDF_Benchmarking_Mai_2025_EN.pdf\u201c url_new_window=\u201eon\u201c button_text=\u201eRead LLM com\u00adpa\u00adrison\u201c button_alignment=\u201eleft\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c custom_button=\u201eon\u201c button_text_color=\u201egcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2\u201c locked=\u201eoff\u201c global_colors_info=\u201c{%22gcid-e57f936a-e1ef-478a-a91c-6dc2f7bf0652%22:%91%22button_text_color__hover%22%93,%22gcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2%22:%91%22button_text_color%22%93}\u201c button_text_color__hover_enabled=\u201eon|hover\u201c button_text_color__hover=\u201e#000000\u201c button_bg_color__hover_enabled=\u201eon|hover\u201c][\/et_pb_button][et_pb_text disabled_on=\u201eoff|off|off\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c header_font=\u201c|700|||||||\u201c header_4_letter_spacing=\u201e12px\u201c module_alignment=\u201ecenter\u201c global_colors_info=\u201c{}\u201c]<\/p>\n For indi\u00advi\u00addual use cases, Insiders AI experts offer sound advice for your company. We would be happy to include your data in an upcoming industry-specific bench\u00admar\u00adking exercise. Simply contact our Insiders AI experts to find out more.<\/p>\n [\/et_pb_text][et_pb_button button_url=\u201emailto:llm-benchmarking@insiders-technologies.de\u201c url_new_window=\u201eon\u201c button_text=\u201eBenchmark my use case\u201c button_alignment=\u201eleft\u201c disabled_on=\u201eoff|off|off\u201c _builder_version=\u201e4.27.4\u201c _module_preset=\u201edefault\u201c custom_button=\u201eon\u201c button_text_color=\u201egcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2\u201c locked=\u201eoff\u201c global_colors_info=\u201c{%22gcid-e57f936a-e1ef-478a-a91c-6dc2f7bf0652%22:%91%22button_text_color__hover%22%93,%22gcid-a1ce49c7-18bb-4621\u20138275-487db4ef4ea2%22:%91%22button_text_color%22%93}\u201c button_text_color__hover_enabled=\u201eon|hover\u201c button_text_color__hover=\u201e#000000\u201c button_bg_color__hover_enabled=\u201eon|hover\u201c][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Insiders LLM Bench\u00admar\u00adking May 2025Which LLM is best for your business? Insiders LLM Bench\u00admar\u00adking analyzes the latest models such as GPT-4o, Claude 3.7 Sonnet, and Gemini 1.5 Pro and evaluates their per\u00adfor\u00admance for intel\u00adli\u00adgent process auto\u00adma\u00adtion. Find out which model is leading the way in May 2025 \u2013 read now!<\/p>\n","protected":false},"author":26,"featured_media":84731,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","wp_typography_post_enhancements_disabled":false,"_mbp_gutenberg_autopost":false,"footnotes":""},"categories":[677,2,504,605],"tags":[],"class_list":["post-88246","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-blog-en","category-customer-en","category-ovaition-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/88246","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/comments?post=88246"}],"version-history":[{"count":0,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/88246\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media\/84731"}],"wp:attachment":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media?parent=88246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/categories?post=88246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/tags?post=88246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}