Using Gemini Deep Research on Google AI Studio
Implementation guide · Gemini 2.5 · Google DeepMind
Serverless
Google AI Studio exposes Gemini Deep Research through model ID gemini-deep-research. 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
gemini-deep-research— see the documentation for request format.
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-deep-researchUse 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="gemini-deep-research",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
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.
Model Specs
Released2024-12-11
Context128k
ArchitectureDecoder Only
Knowledge cutoff2025-01