Gemini Deep Research on Google AI Studio

Gemini 2.5 · Google DeepMind

Serverless

Last refreshed 2026-06-15. Next refresh: weekly.

Why use Gemini Deep Research on Google AI Studio?

Google AI Studio offers Gemini Deep Research with competitive pricing. 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.

Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install google-genai
Auth
export GOOGLE_API_KEY=...
Call
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
Model ID
gemini-deep-research

Request example

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="gemini-deep-research",
    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.

Capabilities

JSON / Tool useStructured Outputs

About Gemini Deep Research

Gemini Deep Research is Google DeepMind's Gemini 2.5 model. It offers a 128K-token context window.

Get Started

DocsPortalPlaygroundPricing

Model Specs

Released2024-12-11
Context128k
ArchitectureDecoder Only
Knowledge cutoff2025-01

Related Models on Google AI Studio

Gemini 2.5 ProGemini 2.5 FlashGemini 2.5 Pro Computer Use PreviewNano Banana (Gemini 2.5 Flash Image)Gemini 2.5 Flash Live API

Provider

Google AI StudioAll models on Google AI Studio →Provider setup guide →