Minimax: Speech 2.8 HD
50K
text
audio
Not listed
About this model
MiniMax Speech 2.8 HD is the flagship studio-grade text-to-speech model from MiniMax. Built on an autoregressive Transformer architecture with a Flow-VAE decoder, it delivers highly expressive, broadcast-ready voice synthesis. It features native sound tags for realistic paralinguistic sounds (such as laughs, sighs, and breaths), robust emotion control, and high-fidelity voice cloning from just 10 seconds of audio. Supporting over 40 languages, it is optimized for professional audiobook narration, podcast production, and high-end video voiceovers.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Text to speech
$100.000 / 1M characters
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Text to speechTTS | $100.000 / 1M characters |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
- • Optimized for unified API inference
- • High prompt fidelity across structured outputs
General inference, enterprise agent workflows, and conversational pipelines.
Based on data from Artificial Analysis. This analysis was generated by OneInfer and does not represent the views or endorsement of Artificial Analysis.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl -X POST https://api.oneinfer.ai/v1/ula/generate-audio \ -H "Authorization: Bearer YOUR_JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "provider": "minimax", "model": "Minimax/speech-2.8-hd", "prompt": "OneInfer makes AI inference simple.", "stream": false, "voice_id": "English_expressive_narrator", "format": "mp3" }'
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