Overview
This model converts text input into spoken audio across 32 languages. It operates on a per-character billing model and delivers audio with a time-to-first-byte of approximately 75ms, operating at half the per-character cost of the Multilingual v2 variant. On Kyma, requests are routed through an OpenAI-compatible endpoint with automatic failover to maintain delivery. Prompt caching applies to repeated text prefixes, billing them at this model’s cached input rate. Usage metrics return exact character costs in the response payload, and the X-Kyma-Model header confirms the executing model. The model is strictly for speech synthesis and does not support reasoning, vision, or structured output formats. It is optimized for speed and cost efficiency rather than maximum vocal fidelity, and it processes text inputs up to a 5000-token context window.Specs
Pricing
Use this when
- Real-Time Voice Agents — Generates conversational audio with sub-100ms latency for interactive AI assistants.
- Low-Latency Narration — Streams spoken content quickly for dynamic reading applications.
- Cost-Optimized TTS — Reduces synthesis expenses for high-volume text-to-speech workloads.
- Multilingual Conversational AI — Supports voice generation across 32 languages for global user bases.
Not ideal for
Do not use this model for applications requiring studio-grade vocal fidelity, complex emotional prosody, or non-speech audio generation.Pick something else when
- You need higher vocal quality and emotional range: use
eleven-multilingual-v2oreleven-v3. - You need to generate music or sound effects: use
elevenlabs-musicorelevenlabs-sfx. - You need to clone a specific voice or design custom vocal profiles: use
minimax-voice-cloneorminimax-voice-design.