Last refreshed 2026-06-15. Next refresh: weekly.
Why use Gemini Deep Research Preview on Google AI Studio?
Google AI Studio offers Gemini Deep Research Preview with pay-as-you-go pricing at $2.00/1M input tokens. Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.
Setup recipe
Python + curlpip install google-genaiexport GOOGLE_API_KEY=...import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(deep-research-preview-04-2026Request example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="deep-research-preview-04-2026",
contents="Hello"
)
print(response.text)Gotchas
- Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
- The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $12.00 |
Capabilities
About Gemini Deep Research Preview
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.