Speech 2.6 Turbo | Realistic Voice & TTS API

MiniMax Speech 2.6 Turbo

High-definition Text-to-Speech (TTS) with natural pronunciation and crisp articulation. Supports multiple built-in voices and custom cloned voices, adjustable speed, volume, and pitch, and coverage of 40+ languages for professional audio creation.

Features

Multilingual leap: Substantially improved English and overall multilingual similarity, accuracy, and rhythm vs. Speech 02; seamless switching across 40 languages for meetings, podcasts, and daily dialog.
Lifelike tone replication: Cross-language, accent, style, and emotion control with industry-leading nuance—including cross-language accent retention, regional accent preservation, and special age voice replication.
Global language set (40+): Expanded library including (new adds) Bulgarian, Danish, Hebrew, Malay, Persian, Slovak, Swedish, Croatian, Filipino, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Tamil, Afrikaans, and more—great for cross-border commerce, customer support, and localized marketing.
Real-time streaming capabilities: generate and play audio as it’s being synthesized, enabling low-latency experiences for live or interactive applications.

How to Use

1) Choose a Voice (voice_id)

Use either a custom voice you trained (voice cloning) or a built-in system voice (case-sensitive):

Wise_Woman, Friendly_Person, Inspirational_girl, Deep_Voice_Man, Calm_Woman,
Casual_Guy, Lively_Girl, Patient_Man, Young_Knight, Determined_Man, Lovely_Girl,
Decent_Boy, Imposing_Manner, Elegant_Man, Abbess, Sweet_Girl_2, Exuberant_Girl

See the full list and samples here: Voice_ID list

2) Set Audio Parameters (mapped to the UI dropdowns)

english_normalization (boolean) Improves English text normalization, especially for number reading (e.g., “$1,299” → “one thousand two hundred ninety-nine dollars”).
sample_rate (Hz) Common: 22050, 24000, 44100, 48000. Tips: 44.1 kHz for music/podcasts; 48 kHz for video post-production.
bitrate (bps for MP3/OGG) 64k / 96k / 128k / 192k / 256k / 320k. Tips: ≥192k for distribution; 96–128k for previews.
channel: mono or stereo Mono is smaller/clearer for speech; stereo when spatialization is desired.
format: mp3, wav, ogg, flac, wav is lossless (bigger files); mp3 is compact and web-friendly. Also supports streaming PCM output for real-time playback.
language_boost (IETF code like en, zh, ja …) Prioritize the main language in mixed-language inputs.

Prosody controls

speed: speaking rate (e.g., 0.8–1.2).
volume: gain (unit depends on API; typically linear or dB).
pitch: pitch shift (semitones/cents or normalized value).

Price

Price: $0.06 / 1,000 characters

Typical Use Cases

Short-video and ad voiceovers, e-learning and courseware, AI assistants and IVR, podcasts/audiobooks, cross-border e-commerce localization.

Best-Practice Presets (optional)

Video voiceover: format=wav, sample_rate=48000, channel=mono, english_normalization=true.
Web preview: format=mp3, sample_rate=44100, bitrate=128000, channel=mono.
Podcast: format=mp3, sample_rate=44100, bitrate=192000–320000, channel=stereo if mixing music.

Speech 2.6 Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/speech-2.6-turbo with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Speech 2.6 Turbo below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/minimax/speech-2.6-turbo" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("minimax/speech-2.6-turbo", {
        "speed": 1,
        "volume": 1,
        "pitch": 0,
        "emotion": "happy",
        "english_normalization": false,
        "sample_rate": 8000,
        "bitrate": 32000,
        "channel": "1",
        "format": "mp3",
        "language_boost": "Chinese",
        "enable_base64_output": false,
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "minimax/speech-2.6-turbo",
    {
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese",
    "enable_base64_output": false,
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Speech 2.6 Turbo API — Frequently asked questions

What is the Speech 2.6 Turbo API?

Speech 2.6 Turbo is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. Minimax Speech 2.6 Turbo is a Text-to-Speech model offering ultra-human voice cloning, industry-leading text normalization, sub-250ms latency and 40+ language support. Pricing: $0.06 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.

How do I call the Speech 2.6 Turbo 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-speech-2.6-turbo.

How much does Speech 2.6 Turbo cost per run?

Speech 2.6 Turbo starts at $0.060 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 2.6 Turbo accept?

Key inputs: `bitrate`, `channel`, `emotion`, `enable_base64_output`, `enable_sync_mode`, `english_normalization`. 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-2.6-turbo.

How long does Speech 2.6 Turbo take to generate?

Average end-to-end generation time on WaveSpeedAI is around 97 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Speech 2.6 Turbo 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.

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