Using Gemini Omni 1.1 Flash on Google AI Studio
Implementation guide · Gemini Omni · Google DeepMind
Google AI Studio exposes Gemini Omni 1.1 Flash through model ID gemini-omni-1.1-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-08-28. Next refresh: weekly.
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-omni-1.1-flash— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYgemini-omni-1.1-flashUse 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-omni-1.1-flash",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $17.50 |
Capabilities
About Gemini Omni 1.1 Flash
Gemini Omni 1.1 Flash is Google DeepMind's generally available video generation and editing model, released August 27, 2026. It provides fast conversational video generation and editing through the Gemini API and Interactions API, with scene extension, interpolation, resolution upscaling, and support for video references. It accepts text, image, and video input and outputs video with native audio at 360p, 720p, 1080p, or 4K (3s–10s at 24 FPS). Official model ID: gemini-omni-1.1-flash. Compare it for Video generation.
Model Specs
Provider