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Gemini Deep Research - Google's Deep Research Agent

Gemini Deep Research is a deep research agent launched by Google, built on the Gemini 3 Pro, and optimized for long-term content gathering and synthesis tasks. The agent uses multi-step reinforcement learning to process complex information...

What is Gemini Deep Research?

Gemini Deep Research is a deep research agent launched by Google, built on Gemini 3 Pro, and optimized for long-term content collection and synthesis tasks. Through multi-step reinforcement learning, the agent can autonomously navigate complex information environments with high precision, reducing illusions and improving report quality. Gemini Deep Research iteratively plans research paths, repeatedly searches and analyzes data, and generates in-depth research reports. Gemini Deep Research has achieved excellent results in multiple benchmark tests and will be applied to products such as Google Search and Google Finance in the future. It will be made available to developers through the Interactions API, helping to build next-generation automated research tools.

Main functions of Gemini Deep Research

  • Complex Information Retrieval and AnalysisThrough multi-step reinforcement learning, it can autonomously plan research paths, including forming queries, reading results, identifying knowledge gaps and searching again, and can obtain accurate data in complex information environments.
  • High-quality report generationBased on the Gemini 3 Pro model, it reduces illusions, improves report quality, and generates structured, detailed, and citation-supported research reports.
  • Unified Information IntegrationIt integrates uploaded files (such as PDF and CSV) and public web page data, processes large amounts of context, and supports comprehensive analysis of multiple data sources.
  • Controllable reporting structureUsers can define report structure, titles, table formats, etc. through prompts, achieving highly customizable output.
  • Fine citation and data validationIt provides fine-grained sources for every fact in the report, making it easy for users to trace and verify the original source of the data.
  • Low-cost and high-efficiency researchWhile maintaining high quality, it significantly reduces the cost of generating in-depth research reports and improves research efficiency.
  • Supports structured outputSupports JSON format output, making it easier for downstream applications to parse and further process research results.

Gemini Deep Research's performance

  • exist Humanity’s Last Exam (HLE) In the study, the score reached 46.4%, outperforming other similar models.
  • exist DeepSearchQA In the benchmark test, it scored 66.1%, demonstrating strong multi-step research capabilities.
  • exist BrowseComp In testing, it scored 59.2%, comparable to the GPT-5 Pro, but at a lower cost.

How to use Gemini Deep Research

  • Register an accountRegister an account and create a project in Google AI Studio to obtain a Gemini API Key.
  • Build Request:
    • Prepare a task description (e.g., "Generate a report on AI in the medical field").
    • Provide a link to the input file (such as PDF or CSV).
    • Construct a JSON request that includes a task description, file links, and output format.
  • Send RequestUse Python or another programming language to send a request to the Interactions API endpoint via the HTTP POST method, and include the API Key in the request header.
  • Processing ResponseParse the JSON data returned by the API to extract the generated report or analysis results.
  • Integration into applicationsEmbed the functionality of Gemini Deep Research into the application and design the user interface to allow users to easily input tasks and obtain results.

Gemini Deep Research's project website

  • Project address: https://blog.google/technology/developers/deep-research-agent-gemini-api/

Application Scenarios of Gemini Deep Research

  • Financial ServicesAutomated due diligence and market analysis help investment teams quickly complete early-stage research and improve decision-making efficiency.
  • BiotechnologyAccelerate drug development and toxicity prediction by improving the depth and granularity of research through in-depth literature analysis.
  • Market ResearchGenerates industry trend and competitive intelligence reports to support companies in developing market strategies and product plans.
  • academic researchIt can quickly generate literature reviews and interdisciplinary research reports, helping with academic paper writing and research projects.
  • News creationIt provides journalists with background research and data support to generate in-depth reports and special analyses.
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