Eleven Flash V2
Neural Network
Eleven Flash V2 is an ElevenLabs speech synthesis model with minimal latency, designed for conversational and voice scenarios.
Specifications
- Input
- text
- Output
- audio
- Number of voices
- 6
Prompt cost
(per 1M tokens)
How it works Eleven Flash V2?
Eleven Flash V2 is an ElevenLabs speech synthesis model built for response speed: audio is delivered with extremely low latency, so the line sounds almost the moment it appears in the text. This makes it a practical tool for conversational scenarios where a two-second pause breaks the feeling of a live conversation. In BotHub, the model is accessible from Russia without a VPN or foreign card, and you pay only for the tokens used, which do not expire at the end of the month. Nearby, in the same window, there are over 250 other models, so you can first generate text with a language model and immediately voice it without switching services; for production, there is a unified OpenAI-compatible API, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Predictable scenarios include: a voice assistant or support bot that responds without noticeable latency, real-time voiceover for game characters, rapid prototyping of voice interfaces before a product decision, audio versions of short notifications and messages, and a sandbox where you can compare voice options before launch.Frequently asked questions about Eleven Flash V2
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 is an ElevenLabs speech synthesis model: it voices provided text and returns a ready-made audio track. Suitable for voiceovers for videos, courses, podcasts, voice responses in bots and apps, and quick draft readings. The ElevenLabs Flash line is designed for low latency, making it convenient for real-time scenarios.
The output is audio that can be downloaded and used in editing or sent to an application. It accepts text as input: up to 30,000 tokens of context are available per request, with the same for the result, so you don't have to cut long scripts manually. We do not have specific bitrate or codec data.
No, reasoning chains are not noted for eleven-flash-v2 in our data, and they are not needed for speech synthesis: the model reads what you provided. If the text needs to be created or edited first, do it in a text model nearby — in BotHub, they are in the same window.
Function calling and strict JSON are not noted for eleven-flash-v2 in our data — the model returns audio. However, it connects via the unified OpenAI-compatible BotHub API: one integration for all models. Leave logic and structured responses to a text model — you won't have to rewrite your code.
Accepting files other than text is not noted in our data: the eleven-flash-v2 scenario is text in, audio out. If you need to transcribe a recording or analyze a video, use a suitable transcription model in the same BotHub window, and leave the voiceover to this one.
There are no notes in our data regarding voiceover languages, so we won't make any promises — test it with a short fragment of your text and listen to the result. BotHub itself is Russian-friendly: the interface and support are in Russian, and payment is via Russian cards in rubles, without VPN or foreign cards.