Eleven Flash V2 IVC
Neural Network
Eleven Flash V2 IVC is an ElevenLabs speech synthesis model with minimal latency for voice assistants and dialogue scenarios.
Specifications
- Input
- audio
- Output
- audio
Prompt cost
(per 1M tokens)
How it works Eleven Flash V2 IVC?
Eleven Flash V2 IVC is an ElevenLabs speech synthesis model designed for one task: delivering audio with extremely low latency so the response sounds almost immediately after the request. This is convenient for dialogue scenarios where exchange speed is crucial, and the IVC variant adds support for voices created from short samples. In BotHub, the model is available from Russia without a VPN or foreign card: pay with a Russian card in rubles as you go, without a subscription, and unused tokens do not expire. Over 250 models are available in the same window; for production, there is a unified API for multimodal systems and corporate access with contracts, invoices, EDI, and limits in the admin panel; data is encrypted and not saved. Useful if you are building a voice assistant or phone bot, narrating training courses and podcasts, adding lines for game characters, reading articles and app notifications aloud, or checking script sound before recording with a voice actor.Frequently asked questions about Eleven Flash V2 IVC
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is an ElevenLabs model for speech processing: it takes audio as input and outputs audio. Suitable for voiceovers, voice replacement in existing recordings, videos, podcasts, and voice interfaces where low latency is important. Available in BotHub without a VPN or foreign card.
The model does not write text: its result is an audio track. Our data indicates a 30,000 token window for both input and output; this budget is used for request processing and audio generation. For long materials, break them into fragments.
A separate reasoning mode is not noted in our data, so we will not promise it. The model's task is different: to quickly transform provided audio into a new sound. For analytics and step-by-step conclusions, it is more convenient to use a text model in BotHub — switching takes a couple of seconds.
Our data does not indicate support for function calling or strict JSON for this model, so you shouldn't rely on it in your architecture. Access is provided via BotHub's unified OpenAI-compatible API, so it is convenient to handle logic and structured output with a text model nearby.
Audio — yes, this is the main input: you provide a recording, and the model returns a finished audio track. There is no mention of images or video in our data, so it is better to use specialized models in BotHub for them — they are available in the same window.
There is no list of supported languages in our data, so we will not promise quality in Russian in advance: check with a short fragment and listen to the result. The BotHub interface is in Russian, payments are accepted with Russian cards, and access works without a VPN or foreign card.