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Speech 2.5 Turbo Preview

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Minimax Speech 2.5 Turbo Preview: HD TTS with multilingual support, accurate voice replication across 40 languages. $0.04/1000 chars. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
Giriş

Boşta

$0.04çalıştırma başına·~25 / $1

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README

MiniMax Speech 2.5 Turbo Preview

MiniMax's high-definition text-to-speech model with natural pronunciation and clear articulation. Features multiple voice options, adjustable speed, volume, and pitch controls for professional-grade audio generation.

Features

Three major breakthroughs: stronger multilingual performance, more lifelike tone, and 40 languages covered — now with real-time streaming capabilities for low-latency audio generation.

Leapfrogging multilingual performance

  • Chinese is the world's strongest, English and other languages have been comprehensively improved in terms of accuracy, similarity, and natural rhythm, surpassing the previous generation Speech 02.
  • English similarity has been significantly improved, and 40 languages can be switched at will, making it no longer "mechanical" in commercial meetings, daily conversations, and English podcasts.

Lifelike tone replication

  • Across languages, accents, styles, and emotions, with industry-leading precision in detail.
  • The model can still achieve "voice"-like realism in extreme scenarios, such as cross-language accent preservation, regional accent preservation, and special age voice replication.

40 languages are now supported

  • Diversified high-quality audio library, globalized and unobstructed.
  • New additions include Bulgarian, Danish, Hebrew, Malay, Persian, Slovak, Swedish, Croatian, Filipino, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Tamil, Afrikaans......
  • Cross-border e-commerce, overseas customer service, and localized marketing are now easier than ever with globalized content creation at your fingertips.
  • Streaming mode: generate and play audio as it’s being synthesized for real-time applications.

Voice ID List

We offer a rich, built-in library of multi-lingual voices. For a detailed list, please refer to this document.

Not:Bu web sitesi, üçüncü taraflarca sağlanan yapay zeka modellerini kullanmaktadır.

Speech 2.5 Turbo Preview API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/speech-2.5-turbo-preview with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Speech 2.5 Turbo Preview below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/speech-2.5-turbo-preview" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/speech-2.5-turbo-preview";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "A clear example input",
        "voice_id": "Wise_Woman",
        "speed": 1,
        "volume": 1,
        "pitch": 0,
        "emotion": "happy",
        "english_normalization": false,
        "sample_rate": 8000,
        "bitrate": 32000,
        "channel": "1",
        "format": "mp3",
        "language_boost": "Chinese"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": False,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/speech-2.5-turbo-preview", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Speech 2.5 Turbo Preview API — Frequently asked questions

What is the Speech 2.5 Turbo Preview API?

Speech 2.5 Turbo Preview is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. Minimax Speech 2.5 Turbo Preview: HD TTS with multilingual support, accurate voice replication across 40 languages. $0.04/1000 chars. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Speech 2.5 Turbo Preview API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-speech-2.5-turbo-preview.

How much does Speech 2.5 Turbo Preview cost per run?

Speech 2.5 Turbo Preview starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Speech 2.5 Turbo Preview accept?

Key inputs: `bitrate`, `channel`, `emotion`, `enable_sync_mode`, `english_normalization`, `format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-speech-2.5-turbo-preview.

How long does Speech 2.5 Turbo Preview take to generate?

Median end-to-end generation time on WaveSpeedAI is around 4 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Speech 2.5 Turbo Preview outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Speech 2.5 Turbo Preview | Realistic Voice & TTS API | WaveSpeedAI