Gemini 2.5 Pro Preview Tts · aihubmix
Gemini 2.5 Pro Preview TTS is a high-fidelity text-to-speech model designed for premium voice experiences and complex speech generation scenarios. It delivers highly natural and expressive audio with precise control over tone, style, and emotional nuance, while maintaining smooth, context-aware pacing across long-form content. The model excels in multi-speaker and dialogue-heavy use cases, preserving consistent character voices and conversational coherence, making it well-suited for narration, storytelling, and advanced conversational AI applications.
Entrada, $/1M $1.00
Saída, $/1M $1.00
Alertas de preço
API
API compatível com OpenAI: os SDKs oficiais da OpenAI funcionam com esta URL base. Substitua YOUR_API_KEY pela sua chave do provedor.
| URL base da API | |
|---|---|
| Endpoint | |
| ID do modelo | |
curl
curl https://aihubmix.com/api/v1/audio/speech \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "gemini-2.5-pro-preview-tts", "input": "Hello!", "voice": "alloy"}'Python
import requests
r = requests.post(
"https://aihubmix.com/api/v1/audio/speech",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "gemini-2.5-pro-preview-tts",
"input": "Hello!",
"voice": "alloy"
},
)
print(r.json())JavaScript
const r = await fetch("https://aihubmix.com/api/v1/audio/speech", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "gemini-2.5-pro-preview-tts",
"input": "Hello!",
"voice": "alloy"
}),
});
console.log(await r.blob());Requisição (JSON)
{
"model": "gemini-2.5-pro-preview-tts",
"input": "Hello!",
"voice": "alloy"
}Resposta (JSON)
audio bytes (audio/mpeg)O endereço vem da lista de modelos do provedor; confira na documentação dele.
Source: AI Rate Card, https://airatecard.com/pt/c/offer%3Aaihubmix%7Cgemini-2.5-pro-preview-tts, prices checked 2026-11-04; seller's page: https://aihubmix.com
Dados técnicos
ID: offer:aihubmix|gemini-2.5-pro-preview-tts