Last refreshed 2026-06-15. Next refresh: weekly.
Why use Antigravity Agent on Google AI Studio?
Google AI Studio offers Antigravity Agent 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.
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(antigravity-preview-05-2026Request example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="antigravity-preview-05-2026",
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.
Capabilities
About Antigravity Agent
Antigravity Agent is Google DeepMind's preview managed agent for autonomous coding and browsing workflows. Powered by Gemini 3.5 Flash, it plans, reasons, runs code, manages files, and browses the web inside a secure Google-hosted Linux sandbox through the Interactions API. It accepts text and image input, has a 1,048,576-token input context window that compacts at about 135K tokens, and supports a 65,536-token output limit. Environment compute is not billed during preview; Google describes pricing as pay-as-you-go based on underlying Gemini model tokens and tool use.