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EvalLab — From benchmark data to executive decision

A procurement-grade comparison of 10 large language models on real customer-support workflows. Same task, same retrieval, same prompt, same scoring rubric across every model. The default view is the workload-shaped operating recommendation; analyst-depth diagnostics sit one layer deeper.

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Run summary. Live dashboard — final results from a one-shot evaluation completed 2026-05-06. 5,600 / 5,600 cells judged at $70.99 / €60.49 total spend. Judge model: Claude Haiku 4.5 via Anthropic API, two-call blinded structure. Retrieval: Azure AI Search semantic query over ArNa Resolve's 7-vertical KB. Observability: Langfuse Cloud.