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Overview

MiniMax Speech Turbo converts text input into audio output with a focus on speed and efficiency. It supports multiple languages and operates in the cheap cost tier and fast speed tier, making it suitable for applications that prioritize low latency and high request volume over studio-grade fidelity. On Kyma, the model is accessible via an OpenAI-compatible endpoint using a single API key. It does not support prompt caching, and it includes automatic failover to reroute requests if a serving path degrades. Responses return exact billing metrics in the usage.cost field and report the active model in the X-Kyma-Model header. The endpoint does not support reasoning, vision, or structured outputs, and it is strictly a speech generation interface. It is designed for scalable deployments where consistent throughput and fast delivery are the primary requirements.

Specs

Pricing

Billed per character of input text. Every request reports its exact cost in usage.cost; the full media price list is on Pricing.

Use this when

  • Real-time voice agents — Generates rapid audio responses for interactive conversational systems.
  • Bulk narration pipelines — Processes large volumes of text into speech efficiently.
  • Conversational AI backends — Delivers fast, multilingual audio output for chat and voice assistants.
  • Scalable text to speech — Handles concurrent requests efficiently for high-volume audio generation.

Not ideal for

Do not use this model when you require studio-quality voice fidelity, complex audio editing, or structured JSON outputs.

Pick something else when

Example

Agent query example

Ask the API which models fit, instead of hardcoding an id:

FAQ

Does this model support structured outputs or JSON formatting? No, it only accepts text input and returns audio output. How does prompt caching work for this endpoint? This model does not support prompt caching. What happens if the serving path experiences latency? Kyma automatically reroutes the request to a healthy serving path to maintain delivery.