Using Gemini Deep Research Max Preview on Google AI Studio
Implementation guide · Gemini 3.1 · Google DeepMind
Google AI Studio exposes Gemini Deep Research Max Preview through model ID deep-research-max-preview-04-2026. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
deep-research-max-preview-04-2026— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYdeep-research-max-preview-04-2026Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="deep-research-max-preview-04-2026",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $12.00 |
Capabilities
About Gemini Deep Research Max Preview
Maximum-comprehensiveness version of Google's Deep Research agent, built on Gemini 3.1 Pro and released April 21, 2026. Spends more compute than the standard preview to consult more sources, refine reports, and capture nuanced details. Designed for accuracy-critical long-form investigations synthesizing information from hundreds of sources. Supports MCP servers, File Search, and multi-step planning. Context: 1M tokens; max output: 65,536 tokens. Runs at Gemini 3.1 Pro rates ($2.00/$12.00 per MTok). API ID: deep-research-max-preview-04-2026.