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ModelActive

Gemini Deep Research

Googleai.google.dev/gemini-api/docs/models/deep-resear

An agentic model that autonomously plans and executes multi-step research across hundreds of sources to produce cited, interactive reports.

quality72

Updated 24 min ago · first seen 11 Sept 2026

model_01M293VBS2PZ4PYY5XP47J6XS4

Specification

Max output
65.5K tokens

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

Modalities
audio, image, pdf, text, video

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

Input modalities
text, image, pdf, audio, video

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

Output modalities
image

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

API model id
deep-research-preview-04-2026

Source:Google AI for Developers (Gemini API docs)T1observed 28 min agohigh

Latest update
2026-04

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

Versions
{"preview":["deep-research-preview-04-2026"]}

Source:Google AI for Developers (Gemini API docs)T1observed 24 min agohigh

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

11

Source tiers

T111

Freshest observation

24 min ago

Conflicts

None