Minimax Speech-02 Turbo is a high-definition text-to-speech model delivering natural voice output. Cost: $0.03 per 1000 characters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Siap
$0.03per run·~33 / $1
Convert text to natural, expressive speech with MiniMax Speech-02-Turbo. This advanced text-to-speech model offers 17+ preset voices, custom voice cloning support, and emotional expression control — perfect for voiceovers, content creation, and audio production.
| Parameter | Required | Description |
|---|---|---|
| text | Yes | The text you want to convert to speech. |
| voice_id | Yes | Voice to use — preset ID or custom trained voice. |
| speed | No | Speech speed multiplier. Default: 1. |
| volume | No | Volume level. Default: 1. |
| pitch | No | Pitch adjustment. Default: 0. |
| emotion | No | Emotional tone: happy, sad, angry, neutral, etc. |
| english_normalization | No | Improves number-reading in English text. |
| sample_rate | No | Audio sample rate (e.g., 22050, 44100). |
| bitrate | No | Audio bitrate quality. |
| channel | No | Audio channels (mono/stereo). |
| format | No | Output format (mp3, wav, etc.). |
| language_boost | No | Boost specific language pronunciation. |
| Voice ID | Character |
|---|---|
| Wise_Woman | Mature, thoughtful female |
| Friendly_Person | Warm, approachable |
| Inspirational_girl | Motivating young female |
| Deep_Voice_Man | Rich, deep male voice |
| Calm_Woman | Soothing, relaxed female |
| Casual_Guy | Laid-back male |
| Lively_Girl | Energetic young female |
| Patient_Man | Steady, reassuring male |
| Young_Knight | Youthful, heroic male |
| Determined_Man | Strong, resolute male |
| Lovely_Girl | Sweet, pleasant female |
| Decent_Boy | Polite young male |
| Imposing_Manner | Authoritative presence |
| Elegant_Man | Refined, sophisticated male |
| Abbess | Wise, spiritual female |
| Sweet_Girl_2 | Gentle, charming female |
| Exuberant_Girl | Excited, enthusiastic female |
| Energetic_Girl | Vibrant, dynamic female |
Per-character billing based on text length.
| Text Length | Cost |
|---|---|
| 1,000 characters | $0.03 |
| 5,000 characters | $0.15 |
| 10,000 characters | $0.30 |
Train your own voice for personalized output:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/speech-02-turbo 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 URLs from data.outputs. Examples for Speech 02 Turbo below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/minimax/speech-02-turbo" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"speed": 1,
"volume": 1,
"pitch": 0,
"emotion": "happy",
"english_normalization": false,
"enable_sync_mode": false
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("minimax/speech-02-turbo", {
"speed": 1,
"volume": 1,
"pitch": 0,
"emotion": "happy",
"english_normalization": false,
"enable_sync_mode": false
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"minimax/speech-02-turbo",
{
"speed": 1,
"volume": 1,
"pitch": 0,
"emotion": "happy",
"english_normalization": false,
"enable_sync_mode": false
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorSpeech 02 Turbo is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. Minimax Speech-02 Turbo is a high-definition text-to-speech model delivering natural voice output. Cost: $0.03 per 1000 characters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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-02-turbo.
Speech 02 Turbo starts at $0.030 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.
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-02-turbo.
Average end-to-end generation time on WaveSpeedAI is around 7 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.