Key Features:

  • Real-Time Applications: Flash is optimized for real-time use cases, particularly conversational AI agents where rapid response times are critical.
  • Speed vs. Expressiveness: While prioritizing speed, the model sacrifices some vocal expressiveness compared to slower models like Turbo. However, ElevenLabs notes that most users won’t notice these differences in real-time applications. Internal blind tests show Flash outperforms other low-latency models in its category.
  • Multilingual Support: Flash comes in two versions:
    • Flash v2: Supports English-only content.
    • Flash v2.5: Expands support to 32 languages.
Access and Pricing:
Both versions are available through ElevenLabs' Conversational AI platform or directly via API with identifiers "eleven_flash_v2" and "eleven_flash_v2_5." The pricing structure is identical for both versions, charging one credit for every two characters processed.

Applications:
Flash is particularly suited for use in:

  • AI-powered customer support
  • Virtual assistants
  • Interactive storytelling
  • Gaming and other real-time applications


Flash sets a new benchmark for speed in text-to-speech technology, making it ideal for real-time interactions. By offering both English-only and multilingual versions, ElevenLabs caters to a wide range of use cases, empowering developers with flexible, fast, and accessible TTS solutions.