Gemini Deep Research Preview

Name: Gemini Deep Research Preview
Author: Google DeepMind

Released

2026-04-21

Last refreshed

2026-06-15

Status

Researched 88d ago

ProprietaryCommercial use: conditionalMultimodalRAGAgentsLong contextVisionJSON / Tool use

Gemini Deep Research Preview is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

Teams evaluating rag, agents, and long context
Workloads that can use a 1m context window
Buyers comparing 1 tracked provider route

Do not use it for

Workloads where another current model has stronger sourced task evidence

Specifications

Family: Gemini 3.1
Released: 2026-04-21
Context: 1m
Max output: 65,536
Architecture: Decoder Only
Knowledge cutoff: 2025-01
Specialization: general
Openness: Proprietary
License: ProprietaryCommercial use: conditional
Weights: Not released
Code: Unknown
Training: Pretrained

Created by

Google DeepMind

Pioneering artificial intelligence research.

London, United Kingdom

Founded 2014

Website

Pricing

Output / 1M

$12.00

Input / 1M

$2.00

Cheapest of 1 route · Google AI Studio

Providers(1)

Google AI Studio

View 1 provider route

Links

Website

About

Google's agentic deep research model built on Gemini 3.1 Pro, released April 21, 2026. Designed for speed and efficiency in autonomous multi-step research: ingests text, images, PDFs, audio, and video to produce comprehensive cited reports from public web sources and private workspace data. Supports collaborative planning, visualization, MCP servers, and File Search. Context window: 1M tokens; max output: 65,536 tokens. Runs at Gemini 3.1 Pro rates ($2.00/$12.00 per MTok). API ID: deep-research-preview-04-2026.

Gemini Deep Research Preview is a proprietary model in the Gemini 3.1 family. The structured metadata tracks a 1m-token context window, multimodal input, audio, function calling, tool use, and structured outputs. This page tracks provider routes through Google AI Studio, with the cheapest tracked route listed at $2 input and $12 output per 1M tokens. No headline benchmark score is tracked for Gemini Deep Research Preview yet.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

Provider	Input / 1M	Output / 1M	Route
Google AI Studio	$2.00	$12.00	Serverless

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