Eleven Flash V2.5 IVC
Neural Network
Eleven Flash V2.5 IVC is an ElevenLabs speech synthesis model with ultra-low latency for voice assistants and conversational scenarios.
Specifications
- Input
- audio
- Output
- audio
Prompt cost
(per 1M tokens)
How it works Eleven Flash V2.5 IVC?
Eleven Flash V2.5 IVC is an ElevenLabs speech synthesis model designed for ultra-low latency: voice generation starts almost instantly, making it great for live dialogue. It supports 32 languages, and the IVC variant works with a voice you add yourself via a sample. In BotHub, the model is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles based on usage, and unused funds do not expire. Over 250 models are available in the same window: you can prepare text for synthesis in one and send it directly to the model, or integrate voice generation into your product via a unified OpenAI-compatible API. Requests are encrypted, and companies can access contracts, invoices, and an admin panel with limits. Use cases include voice assistants and phone bots where response speed is critical, voiceovers for videos, courses, and training materials, character lines in games and apps, audio versions of articles and newsletters, and rapid prototyping of voice interfaces before a major launch.Frequently asked questions about Eleven Flash V2.5 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.
Eleven Flash v2.5 is an ElevenLabs model for audio processing: it takes audio as input and outputs audio. It is suitable for voiceovers for videos and courses, voice bots and assistants, and voice replacement in existing recordings. It runs in BotHub without a VPN or foreign card.
It does not write text — it is an audio model, and its output is an audio track. According to our data, the context and maximum output are 40,000 tokens each, so you can process a fairly large segment in one request. It is more convenient to split long materials into parts.
Our data does not indicate separate reasoning before answering, and it is usually not required for sound synthesis: the model works based on input audio and immediately provides the result. If you need reasoning for a task, text models with this mode are available nearby in BotHub.
Our data does not indicate function calling or structured JSON output for this model — these are tools more typical of text models. However, you can access it via BotHub's unified OpenAI-compatible API, so integrating voiceover into your service or scenario is easy.
Audio — yes, this is its main input: you provide a recording and receive processed sound. Images and video are not listed as capabilities; there are separate models for them in BotHub. You can switch to another one in the same window and via the same API.
The language is not specified in our data for this model, so we cannot promise anything specific — the fastest way is to test it with your own fragment and listen to the result. BotHub itself is fully in Russian: interface, support, payment with Russian cards, and operation without a VPN.