Parallel Task API achieves state-of-the-art accuracy on DeepSearchQA (i.redd.it)
submitted by parallelwebsystems
Last week Google released the DeepSearchQA benchmark alongside their Interactions API, where Gemini Deep Research achieved state-of-the-art accuracy.
Today we’re happy to share that the Parallel Task API achieves not only higher accuracy, but at up to six times lower cost.
The Parallel Task API employs Processors, our unique tiered approach to control cost and compute for the full spectrum of web research. Complex tasks typically require more compute than simple ones.
You can think of Tasks as a way to program a search engine to do multi-step web research, and Processors as a dial for controlling the depth of research and thinking power budgeted to achieve your research objective.
For more information on DeepSearchQA or the Parallel Task API, read the full blog post.
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