Artificial Analysis launches a Search Index that ranks search APIs for agents

Artificial Analysis launched its Search Index, which measures the performance, cost and latency of search APIs across 1,700 tasks from three search benchmarks: BrowseComp, DeepSearchQA and AA-Omniscience. All rows use the same base model and its open-source agent harness, Stirrup. It says agents are expected to search the web far more than humans do by the end of the year.

On its measurements, Exa (auto) and Perplexity (medium) lead, with their best configurations scoring 80. Search API providers can ask to be included, and the methodology page covers the DeepSeek Search settings.