Technology giant Google recently officially launched two autonomous research agents, Deep Research and Deep Research Max, based on its powerful Gemini 3.1 Pro model. These tools aim to replace humans in performing high-intensity data collection and analysis through automated workflows, marking a shift from simple Q&A conversations to complex long-range task execution for AI assistants.

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Currently, these two AI agents are available in preview to global developers via the paid Gemini API. They not only efficiently retrieve public web information but also access enterprise private databases through newly supported protocols, delivering users professional in-depth reports with complete source citations.

Dual versions for flexible adaptation, balancing speed and research depth

To meet diverse office needs, Google has introduced two specifications of its intelligent agent. The standard Deep Research version focuses on low latency and high responsiveness, making it ideal for integration into interactive user interfaces requiring instant feedback, thereby helping users quickly organize research leads.

In contrast, the Deep Research Max version pursues ultimate comprehensiveness and quality. It leverages extended computational capabilities during testing to perform iterative reasoning, searching, and refinement, much like a seasoned analyst working overnight, asynchronously completing complex due diligence in the background and generating highly valuable final summaries.