



const fs = require('fs');
const path = require('path');
const axios = require('axios').default;
const api = new axios.create({
baseURL: 'https://api.ai.cc/v1',
headers: { Authorization: 'Bearer ' },
});
const main = async () => {
const response = await api.post(
'/tts',
{
model: 'minimax/speech-2.5-turbo-preview',
text: 'Hi! What are you doing today?',
voice_setting: {
voice_id: 'Wise_Woman'
}
},
{ responseType: 'stream' },
);
const dist = path.resolve(__dirname, './audio.wav');
const writeStream = fs.createWriteStream(dist);
response.data.pipe(writeStream);
writeStream.on('close', () => console.log('Audio saved to:', dist));
};
main();
import os
import requests
def main():
url = "https://api.ai.cc/v1/tts"
headers = {
"Authorization": "Bearer ",
}
payload = {
"model": "minimax/speech-2.5-turbo-preview",
"text": "Hi! What are you doing today?",
"voice_setting": {
"voice_id": 'Wise_Woman'
}
}
response = requests.post(url, headers=headers, json=payload, stream=True)
dist = os.path.join(os.path.dirname(__file__), "audio.wav")
with open(dist, "wb") as write_stream:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
write_stream.write(chunk)
print("Audio saved to:", dist)
main()
-
AI Playground

Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.


Product Detail
✨ MiniMax Speech 2.5 Turbo is an advanced AI-powered text-to-speech (TTS) model designed to generate studio-quality, lifelike speech. It boasts exceptional multilingual support and sophisticated expressive tone modulation. Leveraging cutting-edge deep learning, it ensures natural pronunciation, accurate voice replication, and dynamic emotional expression, making it ideal for media, entertainment, customer service, education, and global content creation.
Technical Specifications
Model Scope and Input Capacity
MiniMax Speech 2.5 Turbo efficiently processes text inputs of up to 10,000 characters per request. It supports an impressive 40 languages, encompassing diverse accents and emotional styles. The model outputs high-definition audio with granular control over speech speed, volume, pitch, and emotional tone, enabling highly customizable voice generation tailored to specific languages, dialects, and vocal personas.
Performance Benchmarks
- 🚀 Generation Speed: Achieves real-time to near-real-time speech synthesis, perfectly suited for interactive and streaming environments.
- 🔊 Quality: Delivers studio-grade audio output with crystal-clear articulation, natural rhythm, and precise tone replication, even in complex scenarios like cross-language accent retention and regional accent preservation.
- 🌍 Language Support: Offers multilingual fluency across 40 languages, including major ones like Chinese, English, Spanish, and Russian, optimized for global commercial and conversational use.

Architecture Breakdown
The MiniMax Speech 2.5 Turbo model incorporates state-of-the-art neural network architectures, seamlessly combining transformer-based sequence modeling with advanced acoustic feature extraction and synthesis techniques. It is meticulously trained on a massive dataset comprising diverse global voices, languages, and speech styles, enabling it to accurately capture subtle vocal nuances and deliver realistic, human-like expressiveness at scale.
Core Features & Capabilities
- ✅ Multilingual Expressiveness: Supports 40 languages with industry-leading accuracy, ensuring seamless voice switching and high naturalness across diverse accents and dialects.
- 🎙️ Voice Customization: Offers multiple built-in voice identities spanning various ages, genders, and emotional states. Provides fine-grained controls over speed, pitch, volume, and emotions (e.g., happy, sad, angry, fearful, neutral).
- 💖 Lifelike Tone Replication: Expertly preserves voice identity with detailed emotional and accent precision, making it ideal for podcasts, audiobooks, gaming, and customer interactions.
- 📦 Flexible Output Formats: Provides multiple audio formats (MP3, WAV, FLAC, PCM) and channel configurations (mono, stereo) to cater to diverse application requirements.
Use Cases & Applications
- 🎬 Media & Entertainment: Professional voice-over and dubbing for films, video games, and advertising campaigns.
- 📞 Customer Service: Multilingual customer service bots and virtual assistants featuring natural, expressive speech.
- 📚 Education & Accessibility: Creation of accessible audio content, including podcasts, audiobooks, and e-learning materials.
- 📡 Real-time Interactions: Applications such as live streaming, presentations, and smart devices requiring interactive voice capabilities.
- 🌐 Global Marketing: Localization and global marketing efforts through accurate language and accent adaptation.
API Pricing
Cost: $0.063 per 1,000 characters
Code Sample
<div data-name="voice.tts-minimax" data-model="minimax/speech-2.5-turbo-preview"></div>
Comparison with Other Models
- ⚖️ vs Eleven Music: MiniMax Speech 2.5 Turbo excels in highly expressive, multilingual TTS with advanced emotional control and voice fidelity. Eleven Music, in contrast, focuses on AI-driven music generation and composition.
- ⚖️ vs Suno AI: MiniMax offers superior natural speech articulation and extensive multi-language coverage, while Suno AI primarily targets music production with complex editing features.
- ⚖️ vs Udio: MiniMax provides richer voice customization and naturalness. Udio is simpler, generally aimed at basic speech demonstrations.
- ⚖️ vs AIMusic.fm: MiniMax emphasizes detailed prompt-based speech synthesis. AIMusic.fm focuses more on automated and limited customization workflows for music.
Frequently Asked Questions
❓ What neural vocoder architecture enables MiniMax Speech 2.5 Turbo's real-time high-quality synthesis?
MiniMax Speech 2.5 Turbo utilizes an optimized flow-matching diffusion architecture with parallel processing, generating studio-quality speech with sub-100ms latency. This architecture, featuring hierarchical waveform generation and hardware-aware optimizations, captures both macro-prosodic patterns and micro-intonation details efficiently for real-time, high-fidelity synthesis.
❓ How does the Turbo version maintain emotional expressiveness despite accelerated processing?
The model maintains emotional expressiveness through efficient emotional prosody modeling, employing distilled emotion embeddings, shared emotional feature extractors, and optimized pitch/timing networks. Advanced knowledge distillation from larger emotional TTS models ensures impressive emotional range while achieving low-latency performance.
❓ What real-time applications benefit most from MiniMax Speech 2.5 Turbo's latency profile?
Its low latency is highly beneficial for live conversational AI, interactive gaming with responsive character dialogue, real-time translation services, voice-enabled customer support, and educational platforms requiring instant verbal feedback. It excels in applications where responsiveness directly impacts user experience and natural human-computer interaction.
❓ How does the model handle voice consistency and customization in accelerated mode?
MiniMax Speech 2.5 Turbo features efficient voice adaptation mechanisms that preserve speaker identity and characteristics while optimizing for speed. It uses compressed voice representation learning, parameter-efficient fine-tuning for customization, and streamlined style transfer, supporting adjustable voice attributes without sacrificing responsiveness.
❓ What deployment advantages does the Turbo architecture offer for scalable voice services?
The architecture's efficiency enables cost-effective large-scale deployment by significantly reducing computational requirements per request, improving throughput, lowering operational costs, and providing predictable performance under load. It supports efficient multi-tenant architectures and seamless integration for high-demand scenarios.
Learn how you can transformyour company with AICC APIs



Log in