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AI Launch Profile

Google launches Deep Research and Deep Research Max agents in Gemini API

Google introduced Deep Research and Deep Research Max in the Gemini API with MCP support, native visualizations, planning controls, and richer long-horizon research workflows.

Editorial image for Google launches Deep Research and Deep Research Max agents in Gemini API AI launch

At a glance

Launch Snapshot

Company
Google
Launch date
April 21, 2026
Launch type
Major Update
Category
AI Agents, AI Developer Tools, AI Research Tools
Audience
Analysts, Developers, Finance Teams, Life Sciences Teams, Researchers
Pricing
Public preview on paid Gemini API tiers at launch; cost depends on Interactions API, search/tooling, model, and usage.
Free plan
No
API
Yes
Open weights/source
No

Verification & Sources

Evidence state
Recheck due
Source links
2
Freshness
Needs recheck: checked June 8, 2026
Last updated
June 8, 2026
What this evidence state means
Definition
The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance
The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner
Kingy freshness queue owner and assigned editorial reviewer
Freshness rule
This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections
Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

Suggest a correction

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Kingy AI Take

This is a major research-agent launch because Google exposed long-horizon research as a developer-facing agent, not just an app feature.

Who it is for

Developers and professional research teams that need autonomous, cited reports over web sources, proprietary data streams, files, and MCP-connected tools.

What feels promising

Deep Research Max blends web, files, MCP sources, and visual outputs, which is exactly where professional research agents need to go.

What feels unproven

Research agents still require source review, compliance checks, and domain-expert validation before high-stakes use.

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