All models
Google

Gemini 2.5 Pro TTS

−30% vs Google
✓ Official API· served byGoogle Vertex AIVertex AI
Try in Playground

Gemini 2.5 Pro TTS is Google's premium engine for studio-quality speech synthesis, sitting above the Flash text-to-speech model. It is recommended for long-form content, professional narrations, and complex creative workflows that require the highest level of vocal clarity and natural prosody.

The real Google model

Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from Google’s own page — check it.

Maker's own page

Price

input / output · per 1M tokens

Google Vertex AIVertex AI

−30%Only on FlintBeam

−30% on every request

Direct on Vertex AI: $1.00 / $20.00

Daily discount until 2026-11-30; it can change or end earlier.

$1.00 / $20.00$0.70 / $14.00

Context

8,192

up to 16,384 out

16,384 by default here

Modalities

Released

Dec 2025

What it would cost you

1000 tokens is roughly 750 English words.

Estimated total$8.40

How it is served

Economy

Requests are retried automatically if a provider is unavailable.

Similar models

Models built for the same kind of work, at a similar price.

Eligible models may have a daily discount below the maker's price. Daily discounts apply to eligible models and can change from day to day.

Use it from your code

Model:google/gemini-2.5-pro-tts
main.py
OpenAI Specification v1.0
from openai import OpenAI

# Works with the official openai package (pip install openai)
client = OpenAI(
    base_url="https://api.flintbeam.com/v1",
    api_key="sk-live-your-api-key"
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro-tts",
    messages=[
        {"role": "system", "content": "You are an experienced software engineer."},
        {"role": "user", "content": "Describe the architecture of a distributed cache."}
    ],
    temperature=0.7,
    max_tokens=1500
)

print(response.choices[0].message.content)