Devoured - April 22, 2026
Deep Research Max: a step change for autonomous research agents (6 minute read)

Deep Research Max: a step change for autonomous research agents (6 minute read)

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Google launched Deep Research and Deep Research Max, autonomous AI agents that conduct multi-source research workflows and generate professional reports with native visualizations.

What: Two new autonomous research agents built on Gemini 3.1 Pro: Deep Research optimized for speed and interactive use cases, and Deep Research Max designed for comprehensive, asynchronous deep-dive analysis using extended test-time compute to iteratively refine outputs.
Why it matters: This represents a significant evolution in autonomous agent capabilities by combining web search with proprietary data access through MCP, enabling enterprise workflows in finance and life sciences where agents can navigate specialized data repositories and produce presentation-ready analysis with native visualizations.
Takeaway: Developers can access both agents today through the Gemini API Interactions API in public preview via paid tiers, with documentation available for integration into custom workflows.
Deep dive
  • Deep Research replaces the December preview release with significantly reduced latency and cost while improving quality, positioned for interactive user-facing applications
  • Deep Research Max uses extended test-time compute to iteratively reason, search, and refine reports, designed for asynchronous background workflows like overnight due diligence generation
  • Model Context Protocol support allows agents to securely connect to custom data sources and specialized professional databases, transforming the agent from a web searcher into a tool capable of navigating proprietary data repositories
  • Native chart and infographic generation in HTML or Nano Banana format creates presentation-ready visualizations inline with research reports, a first for Deep Research in the Gemini API
  • Collaborative planning feature lets users review and refine the agent's research plan before execution, providing granular control over investigation scope
  • Extended tooling combines Google Search, remote MCP servers, URL Context, Code Execution, and File Search simultaneously, or can operate exclusively on custom data with web access disabled
  • Multimodal research grounding accepts PDFs, CSVs, images, audio, and video as input context to guide the agent's investigation
  • Real-time streaming provides live thought summaries and outputs text and images as generated, useful for interactive interfaces
  • Deep Research Max consults significantly more sources than the December release and identifies critical nuances previously overlooked, with improved diversity of sources and conflicting evidence analysis
  • Google is collaborating with FactSet, S&P Global, and PitchBook on MCP server designs to integrate financial data offerings into Deep Research workflows
  • The infrastructure powers research capabilities across Google's consumer products including Gemini App, NotebookLM, Google Search, and Google Finance
  • Performance improvements demonstrated on industry-standard benchmarks tracking retrieval and reasoning capabilities, with focus on rigorous factuality for regulated fields
Decoder
  • Model Context Protocol (MCP): A standard interface for securely connecting AI agents to external data sources and tools, enabling access to proprietary databases and specialized systems
  • Test-time compute: Additional computational resources allocated during inference to allow iterative reasoning and refinement, trading speed for higher quality outputs
  • Interactions API: Google's API framework for building with autonomous agents that can execute multi-step workflows
  • Nano Banana: A visualization format (likely specific to Google) for generating charts and infographics programmatically
Original article

Deep Research Max: a step change for autonomous research agents

Built with Gemini 3.1 Pro, the new Deep Research agents bring MCP support, native visualizations and unprecedented analytical quality to long-horizon research workflows across the web or custom sources.

In December, we released the Gemini Deep Research agent to developers via the Interactions API, giving developers access to Google's most advanced autonomous research capabilities. Today, we are taking these capabilities to the next level with two new evolutions of our autonomous research agent: Deep Research and Deep Research Max.

With the integration of our most advanced model, Gemini 3.1 Pro, Deep Research has transformed from a sophisticated summarization engine into a foundation for enterprise workflows across finance, life sciences, market research, and more. Deep Research's reports offer value on their own, but also serve as the first step in complex, agentic pipelines which often start with in-depth context gathering. With a single API call, developers can now trigger exhaustive research workflows that for the first time blend the open web with their proprietary data streams to deliver professional-grade, fully cited analyses.

Choose a research configuration that fits your workflow

Building upon our initial release of Gemini Deep Research, we're introducing two distinct agents designed to match your needs ranging from direct user assistance to large-scale, offline research processes:

  • Deep Research: Optimized for speed and efficiency, this new agent replaces our preview release from December and delivers significantly reduced latency and cost at higher quality levels. It is the ideal agent for research experiences integrated directly into interactive user surfaces where lower latency is desired.
  • Deep Research Max: Designed for maximum comprehensiveness and highest-quality synthesis, Max leverages extended test-time compute to iteratively reason, search and refine the final report. It is the perfect engine for asynchronous, background workflows such as a nightly cron job triggering the generation of exhaustive due diligence reports for an analyst team by morning.

Deep Research Max represents a leap in performance across industry-standard benchmarks tracking retrieval and reasoning capabilities.

Deep Research Max represents a leap in performance across industry-standard benchmarks tracking retrieval and reasoning capabilities.

Unlock proprietary data and rich native visuals

Deep Research can now search the web, arbitrary remote MCPs, file uploads and connected file stores — or any subset of them — introducing capabilities designed to handle the complex, gated data universes that professionals rely on daily.

  • Model Context Protocol (MCP) support: You can now seamlessly connect Deep Research to your custom data and specialized professional data streams (such as financial or market data providers) securely via MCP. Deep Research supports arbitrary tool definitions which transforms it from a web searcher into an autonomous agent capable of navigating any specialized data repositories.
  • Native charts and infographics: A first for Deep Research in the Gemini API, our agent no longer just creates text; it natively generates high-quality charts and infographics in-line with HTML or Nano Banana, dynamically visualizing complex data sets to enrich analytical reports.
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We've also expanded the agent's capabilities to provide more control and transparency over the research process:

  • Collaborative planning: Review, guide and refine the research plan generated by the agent before it begins execution, providing granular control over the investigation's scope.
  • Extended tooling: Combine the full suite of Gemini API tooling. Run Deep Research with Google Search, remote MCP servers, URL Context, Code Execution and File Search simultaneously — or turn off web access entirely to exclusively search over your custom data.
  • Multimodal research grounding: Provide a combination of PDFs, CSVs, images, audio and video as input to ground the agent's research in your custom context.
  • Real-time streaming: Track the agent's intermediate reasoning steps with live thought summaries, and receive text and image outputs as they are generated, particularly useful for interactive user surfaces.

Drive real-world results with expert-grade analysis

Deep Research Max delivers highly comprehensive reports, rigorous factuality and expert-grade analysis cheaper and more efficiently than ever before. Compared to our December release, Deep Research Max consults significantly more sources and identifies critical nuances the older release frequently overlooked. We have also focused on teaching Deep Research to consult a diverse array of sources and carefully weighing conflicting evidence against each other. The result is a nuanced report that draws from authoritative sources like SEC filings and open-access peer-reviewed journals, lays out information well and transforms dense technical data into actionable, stakeholder-ready formats.

Win-rates of Deep Research 4/26 vs. Deep Research 12/25 on an internal Deep Research expert eval

To make sure this tech delivers real-world results, we're working closely with startups and enterprises in specialized and regulated fields where there is little margin for error, particularly in finance and the life sciences. For example, we are actively collaborating with FactSet, S&P Global and PitchBook on their MCP server designs to let shared customers integrate financial data offerings into workflows powered by Deep Research, and to enable them to realize a leap in productivity by gathering context using their exhaustive data universes at lightning speed.

Take advantage of proven Google scale performance

When you build with the Deep Research agent, you are tapping into the same autonomous research infrastructure that powers research capabilities within some of Google's most popular products like Gemini App, NotebookLM, Google Search and Google Finance.

Get started with Deep Research in the Interactions API

Deep Research and Deep Research Max are available starting today in public preview via paid tiers in the Gemini API. Head over to our developer documentation to start building with Deep Research using the Interactions API. Deep Research and Deep Research Max will also soon be available to startups and enterprises in Google Cloud.