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Overview

MiniMax Speech HD converts text into high-quality audio across multiple languages. It delivers expressive voice synthesis with a 5,000-token context window and is optimized for strong audio quality at a cheap tier. On Kyma, the model runs through an OpenAI-compatible endpoint using a single API key. Every request includes automatic failover if a serving path degrades, and responses return exact billing data in usage.cost alongside an X-Kyma-Model header. This model does not support prompt caching. The model does not support reasoning, vision, or structured outputs. It operates at a medium speed tier, making it suitable for batch processing and asynchronous audio pipelines rather than low-latency conversational applications.

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

  • Multilingual Content Narration — Generate expressive voiceovers for videos and podcasts across multiple languages.
  • Budget Brand Voiceovers — Produce consistent audio assets for marketing campaigns at a lower cost tier.
  • Audio Translation Workflows — Convert localized text into natural-sounding speech for global distribution.
  • Extended Audiobook Generation — Process long text passages into continuous audio using the full context window.

Not ideal for

It is not suitable for real-time conversational voice agents or applications requiring sub-second audio latency.

Pick something else when

Example

Agent query example

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

FAQ

Does this model support prompt caching? No, this model does not support prompt caching. What happens if the serving path fails during generation? Kyma automatically reroutes the request to a healthy serving path without requiring client-side retries. Can I use this for real-time voice conversations? No, the model operates at a medium speed tier and is optimized for asynchronous or batch audio generation.