This model is designed to handle text, pictures, and video inputs, allowing it to read up to 130 pages of content. It specializes in generating and editing video clips, producing outputs that include both text and moving images. What sets this model apart is its native ability to process and generate video content directly. It is not suitable for tasks requiring external tool usage or the creation of structured data formats.
Gemini 3.1 Flash TTS Preview
by GoogleReleased 24 April 2026
Google's preview of 3.1 Flash TTS turns text into speech using Google's prebuilt voices. It is the earlier generation of Gemini speech: Google now points users to Gemini 3.8 Flash TTS for acted-out expression and long multi-turn dialogue, and to 3.8 Flash-Lite TTS for volume. Keep this one only for workflows that write style directions into the text, which the 3.8 models expect as separate settings.
What it costs
You pay for what each request uses. No subscription, no minimum.
One paragraph read aloud, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 332,84 DA | |
| Audio tokens | 6 656,71 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- The length of the text, and of the audio made.
- After each one
- The exact charge shows on the request.
Where your request runs
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
Call it in code
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
with client.audio.speech.with_streaming_response.create(
model="google/gemini-3.1-flash-tts-preview",
input="مرحبا بكم في متجرنا. التوصيل مجاني في وهران.",
voice="Zephyr",
) as resp:
resp.stream_to_file("speech.mp3")Runs this request once on your balance.
Questions about Gemini 3.1 Flash TTS Preview
How much does Gemini 3.1 Flash TTS Preview cost in dinars?
About 6,71 DA per paragraph read aloud. ↑ 332,84 DA per 1M text tokens · ↓ 6 656,71 DA per 1M audio tokens.
Is Gemini 3.1 Flash TTS Preview free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is Gemini 3.1 Flash TTS Preview best for?
Google's preview of 3.1 Flash TTS turns text into speech using Google's prebuilt voices. It is the earlier generation of Gemini speech: Google now points users to Gemini 3.8 Flash TTS for acted-out expression and long multi-turn dialogue, and to 3.8 Flash-Lite TTS for volume. Keep this one only for workflows that write style directions into the text, which the 3.8 models expect as separate settings.
How do I pay for Gemini 3.1 Flash TTS Preview without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Gemini 3.1 Flash TTS Preview included, is paid from that balance. No foreign card, no conversion.
Does Gemini 3.1 Flash TTS Preview work in Arabic, French or Darja?
Google names no languages for Gemini 3.1 Flash TTS Preview. Arabic, French and Darja: not stated.
How many voices, and can it clone mine?
30 voices. Cloning from a sample: not stated.
Who makes Gemini 3.1 Flash TTS Preview, and when was it released?
Google. Released 24 April 2026.
Other Google models, priced in dinars
See all Google models#1 for speech · Gemini 3.8 Flash TTS turns text into speech in 130+ languages with studio-grade acting, regional accents and a voice that stays consistent through long dialogues. It offers prebuilt voices, custom voice personas and voice replication, with about 8 pages of text per request. Pick it for audiobooks, narration and multi-speaker scenes.
Nano Banana 2, Google's 3.1 Flash Image model, generates and edits images from a written description and reference pictures, returning images with text. It outputs up to 4K, adds very tall and very wide shapes such as 1:8, and renders text in other languages better. Pick it for production batches of ads, banners and edits.
This model accepts text, pictures, and videos as input, allowing it to read up to 130 pages of content. It specializes in creating and editing video content, converting descriptions or pictures into moving images. A key feature is its ability to search the web for information while processing complex visual data. However, it does not utilize external tools or generate structured data formats.