Using Gemini 3.1 Flash TTS Preview on Google AI Studio
Implementation guide · Gemini 3.1 · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3.1-flash-tts-preview— see the documentation for request format. - 3
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3.1-flash-tts-previewUse 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-3.1-flash-tts-preview",
contents="Hello"
)
print(response.text)About Google AI Studio
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.
Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.00 |
Capabilities
Audio
About Gemini 3.1 Flash TTS Preview
Google's cost-efficient expressive text-to-speech model, released April 15, 2026. Supports 70+ languages, native multi-speaker dialogue, and 200+ audio style tags for precise delivery control. SynthID watermarking included. Achieves Elo 1,211 on the Artificial Analysis TTS leaderboard. Priced at $1.00/M input tokens and $20.00/M audio output tokens. API ID: gemini-3.1-flash-tts-preview.
Model Specs
Released2026-04-15
Context16k
ArchitectureDecoder Only