Eleven V4 Turbo
Neural Network
Eleven V4 Turbo is a low-latency speech synthesis model from ElevenLabs for voiceovers and voice assistants.
Specifications
- Input
- text
- Output
- audio
- Number of voices
- 6
Prompt cost
(per 1M tokens)
How it works Eleven V4 Turbo?
Eleven V4 Turbo is a speech synthesis model from ElevenLabs built for speed: it is optimized for low latency, making it suitable for scenarios requiring near-instant voice responses. The delivery remains emotional rather than mechanical, conveying intonation and mood. With support for over 90 languages, a single voice engine can handle multilingual projects. In BotHub, the model is accessible without a VPN or foreign card: pay with Russian cards in rubles based on actual usage, with no token expiration. The same interface offers over 250 neural networks, and a unified OpenAI-compatible API allows you to integrate voice synthesis into your product and switch models without rewriting the integration. Requests are transmitted via an encrypted AES-GCM channel, and data is not stored. Companies have access to contracts, invoices, electronic document management (EDO), and an admin panel with limits. Use cases: voice assistants and phone bots where reaction speed is critical; voiceovers for videos and training courses; audio versions of articles and newsletters; character lines for games; and audio localization for different languages.Frequently asked questions about Eleven V4 Turbo
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 a speech synthesis model from ElevenLabs: you provide text, and receive ready-made audio. It is suitable for videos, podcasts, training courses, audio versions of articles, and voice responses in services and bots. The context limit is 10,000 tokens, with the same amount allocated for output.
The output is an audio track with the voiceover of the provided text. Specific codecs and file parameters are not specified in our data, so refer to the API request settings or simply download the result from the BotHub interface. One request supports up to 10,000 tokens.
A separate reasoning mode is not indicated in our data, and it is not relevant for speech synthesis: the model works with the text you provide. If you need a chain of thought before answering, switch to a text model in the same BotHub window.
Function calling and structured JSON output are not indicated for this model in our data. If your architecture requires tools and strict schemas, create a combination: a text model handles logic and JSON, and you trigger the voiceover using the same key via the unified OpenAI-compatible API.
Input of images, audio, or video is not supported in our data — the work is based on text descriptions. If you need to recognize an image, transcribe a recording, or analyze a video, switch to a suitable model in the same window without rewriting the integration.
There is no list of supported languages in our data, so we cannot promise anything specific — test the model with a short fragment; it is quick and illustrative. BotHub itself works from Russia without a VPN or foreign card, and payment is made in rubles based on actual token usage.