MiniMax Speech 2.8

MiniMax Speech 2.8 (minimax/speech-2.8-hd and minimax/speech-2.8-turbo) is text-to-speech, Russian included. The catalog’s voices field lists 45 ready-made system voices (English_Graceful_Lady, English_expressive_narrator and more). The English_ prefix names the reference recording’s language, not a limit: the model detects the language from the text and reads Russian with the same voices. Beyond the list, voice also accepts other MiniMax voice identifiers.

Version	Key	When to pick it
HD	minimax/speech-2.8-hd	Voice-over where quality is audible: videos, audiobooks
Turbo	minimax/speech-2.8-turbo	Bulk narration and interactive use, where speed and price win

Parameters

POST /v1/audio/speech:

Field	Description
input	Text, required
model	Model key
voice	MiniMax voice identifier
speed	Speech rate

The response is mp3. Billing is per input character, so the cost of a voice-over follows from the length of the text before you send it.

Example

Python

from openai import OpenAI

client = OpenAI(base_url="https://api.mixen.ai/v1", api_key=MIXEN_API_KEY)

speech = client.audio.speech.create(
    model="minimax/speech-2.8-hd",
    input="Hello there! This is a speech synthesis sample.",
    voice="female-shaonv",
)
speech.write_to_file("hello.mp3")

cURL

curl https://api.mixen.ai/v1/audio/speech \
  -H "Authorization: Bearer $MIXEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax/speech-2.8-hd", "input": "Hello there!", "voice": "female-shaonv"}' \
  --output hello.mp3

Things to keep in mind

• Voices differ per model. grok-voice-tts-1.0, Gemini TTS and Qwen have closed rosters listed in the catalog’s voices field, and an invalid voice there returns 400. MiniMax lists ready-made voices in voices, but its roster is open: any other MiniMax voice identifier works too.
• Price follows input, not duration. A long text with pauses and short audible output costs the same as a dense one: the tariff counts characters.

The full synthesis line-up with prices is in the catalog; the endpoint itself is covered in the text-to-speech guide.