Gemini 2.5 Flash Preview Tts · aihubmix
Gemini 2.5 Flash Preview TTS is a lightweight, low-latency text-to-speech model designed for real-time voice generation. It produces natural, expressive speech with accurate control over tone, style, and pacing, while dynamically adjusting speaking speed based on context and instructions. The model also maintains consistent and distinguishable voices across multi-turn and multi-speaker conversations, making it well-suited for interactive and conversational applications that require stable, high-quality audio output.
Entrada, $/1M $0.50
Salida, $/1M $0.50
Alertas de precio
API
API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.
| URL base de la API | |
|---|---|
| Endpoint | |
| ID del 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-flash-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-flash-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-flash-preview-tts",
"input": "Hello!",
"voice": "alloy"
}),
});
console.log(await r.blob());Solicitud (JSON)
{
"model": "gemini-2.5-flash-preview-tts",
"input": "Hello!",
"voice": "alloy"
}Respuesta (JSON)
audio bytes (audio/mpeg)La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.
Source: AI Rate Card, https://airatecard.com/es/c/offer%3Aaihubmix%7Cgemini-2.5-flash-preview-tts, prices checked 2026-11-04; seller's page: https://aihubmix.com
Datos técnicos
ID: offer:aihubmix|gemini-2.5-flash-preview-tts