--- title: ITBench-AA: Frontier Models Score Below 50% on the First... description: ITBench-AA is a new benchmark for evaluating AI agents on enterprise IT/SRE tasks, developed by Artificial Analysis and IBM. All frontier models score below... canonical: https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM | daily.dev og:description: ITBench-AA is a new benchmark for evaluating AI agents on enterprise IT/SRE tasks, developed by Artificial Analysis and IBM. All frontier models score below... og:url: https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim og:image: https://api.daily.dev/og/posts/inM3WCEim.png og:image:alt: ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM **[Hugging Face](https://daily.dev/sources/huggingface)** · 4 min read · 1 upvotes · 0 comments ## Summary ITBench-AA is a new benchmark for evaluating AI agents on enterprise IT/SRE tasks, developed by Artificial Analysis and IBM. All frontier models score below 50%, with Claude Opus 4.7 leading at 47%, followed by GPT-5.5 at 46%. The benchmark consists of 59 SRE tasks requiring agents to diagnose Kubernetes incidents by analyzing alerts, logs, traces, and topology data. A key finding is that more investigation turns do not improve accuracy — models with longer trajectories (e.g., Gemini 3.1 Pro Preview at 83 turns) score lower than terser models. Open-weight models offer competitive cost-performance tradeoffs, with Gemma 4 31B scoring 37% at only $0.14 per task versus proprietary models costing up to $5.38 per task. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The Open Agent Leaderboard](https://daily.dev/posts/the-open-agent-leaderboard-vs2qmkwoy) · Hugging Face · 0 upvotes · 0 comments - [The Agentic Analytics Benchmark: Measuring model accuracy and efficiency in analytical agents](https://daily.dev/posts/the-agentic-analytics-benchmark-measuring-model-accuracy-and-efficiency-in-analytical-agents-81a3conc5) · ClickHouse · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#kubernetes](https://daily.dev/tags/kubernetes), [#llm](https://daily.dev/tags/llm) [View this post on daily.dev](https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM","url":"https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/itbench-aa-frontier-models-score-below-50-on-the-first-benchmark-for-agentic-enterprise-it-tasks--inm3wceim"},"datePublished":"2026-05-27T17:24:47.423Z","dateModified":"2026-10-14T02:36:02.147Z","description":"ITBench-AA is a new benchmark for evaluating AI agents on enterprise IT/SRE tasks, developed by Artificial Analysis and IBM. 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