Today, we are releasing a significantly more powerful Gemini Deep Research agent, available via the Interactions API. For the first time, developers can embed Google’s most advanced autonomous research capabilities directly into their own applications. We are also open-sourcing a new web research agent benchmark, DeepSearchQA, designed to test agent comprehensiveness on web research tasks.
Gemini Deep Research is an agent optimized for long-running context gathering and synthesis tasks. The agent’s reasoning core uses Gemini 3 Pro, our most factual model yet, and is specifically trained to reduce hallucinations and maximize report quality during complex tasks. By scaling multi-step reinforcement learning for search, the agent autonomously navigates complex information landscapes with high accuracy.
Deep Research iteratively plans its investigation – it formulates queries, reads results, identifies knowledge gaps, and searches again. This release features vastly improved web search, allowing it to navigate deep into sites for specific data.
The new Gemini Deep Research agent achieves state-of-the-art results on Humanity’s Last Exam (HLE) and DeepSearchQA, and is our best on BrowseComp. It is optimized to generate well-researched reports at much lower cost. Deep Research is now more useful and intelligent than ever, and will soon be available in Google Search, NotebookLM, Google Finance and upgraded in the Gemini App.