Parallel Task API achieves state-of-the-art accuracy on DeepSearchQA
Blog post from Parallel Web Systems
Google has recently released DeepSearchQA, a new benchmark for evaluating the performance of agents in multi-step information-seeking tasks across 17 fields of expertise, simultaneously launching its Gemini Deep Research API. DeepSearchQA addresses systematic collation of fragmented information, de-duplication, and reasoning about stopping criteria, offering a structured "causal-chain" approach where each step depends on the resolution of the previous one. Parallel's Ultra2x, a cost-effective alternative, surpasses other deep research solutions like Gemini Deep Research API, OpenAI GPT 5.2 Pro, and Exa in both accuracy and cost efficiency by leveraging a proprietary and expansive web index optimized for token-efficient search tailored for LLMs. The Parallel Task API facilitates the transformation of manual workflows into automated operations, advancing web search capabilities with innovations in crawling and data extraction, utilized by major companies and AI-native businesses to enhance business functions and AI features.
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