GooglePaidOperationalModerated

Gemini 2.5 Pro Preview TTS

API model name: gemini-2.5-pro-preview-tts

Gemini 2.5 Pro Preview TTS is Google's AI model, served on the Api.Airforce unified API. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.64

Output / 1M tokens

$12.82

Official input rate

$1.00

Official output rate

$20.00

Api.Airforce price vs. the provider's official rate.-36%

Specifications

Provider: Google
Type: AI model

What is Gemini 2.5 Pro Preview TTS used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.

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Gemini 2.5 Pro Preview TTS — frequently asked questions

How much does Gemini 2.5 Pro Preview TTS cost?: Gemini 2.5 Pro Preview TTS is billed per generation rather than per token. See the pricing page for the current rate.
What can Gemini 2.5 Pro Preview TTS do?: Gemini 2.5 Pro Preview TTS is Google's AI model, accessible through the Api.Airforce API.
Is Gemini 2.5 Pro Preview TTS free to use?: Gemini 2.5 Pro Preview TTS is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Gemini 2.5 Pro Preview TTS via the API?: Gemini 2.5 Pro Preview TTS is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gemini-2.5-pro-preview-tts with your Api.Airforce API key.
Who makes Gemini 2.5 Pro Preview TTS?: Gemini 2.5 Pro Preview TTS is Google's AI model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Gemini 2.5 Pro Preview TTS via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass gemini-2.5-pro-preview-tts as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro-preview-tts",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="gemini-2.5-pro-preview-tts",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "gemini-2.5-pro-preview-tts",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);