Artificial Analysis has released the Search Index, a benchmark for evaluating search API providers based on quality, cost, and speed. Seven providers participated in the testing.
In tests conducted with GPT-5.6 Luna, Parallel, Exa, and Firecrawl achieved the highest results, according to The Decoder. The source does not provide detailed scores or comparison conditions in the available synopsis.
The publication could serve as a useful guide for selecting a search API, but current data is insufficient to determine which provider is superior based on individual criteria or specific use cases.
editorial commentary
Why it matters
If the methodology proves reproducible, the Search Index could influence the selection of search APIs in AI systems. The nearest verifiable signal is the publication of the full score table and test conditions. Significant uncertainty remains due to the single source and limited metadata.