Claude Haiku 5.5 boosts accuracy and halves latency
Blog post from Box
Box’s evaluation of Claude Haiku 5.5 on realistic, document-grounded analytical work found that it outperformed Haiku 4.5 in accuracy, consistency, efficiency, and speed, scoring 60% versus 49% while using about 27% fewer tokens and completing tasks in roughly half the time. The benchmark required an agent to retrieve information from spreadsheets, PDFs, and presentations, perform multi-step reasoning, and produce deliverables assessed against detailed rubrics across repeated runs. Improvements were most pronounced in numerically intensive tasks such as report drafting and data analysis, where Haiku 5.5 more reliably selected correct calculation methods, avoided duplicate data, resolved circular financial dependencies, computed statistics at appropriate scales, and applied eligibility requirements. Across industrial, financial, life-sciences, public-sector, and technology examples, the model avoided errors that led Haiku 4.5 to double-count totals, miscalculate rates, make unsuitable recommendations, or identify incorrect conclusions, suggesting stronger suitability for high-volume enterprise knowledge work requiring both speed and dependable quantitative reasoning.
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