Gemini 2.5 Pro Preview TTS

Neural Network

Beep-boop, writing text for you...
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Gemini 2.5 Pro Preview TTS
32 000

Max answer length

(in tokens)

200 000

Context size

(in tokens)

15 714,29 ₽

Prompt cost

(per 1M tokens)

15 714,29 ₽

Answer cost

(per 1M tokens)

15,71 ₽

Image prompt

(per 1K tokens)

*Prices are shown for API usage via ECO providers.
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Code example and API for Gemini 2.5 Pro Preview TTSWe offer full access to the OpenAI API through our service. All our endpoints fully comply with OpenAI endpoints and can be used both with plugins and when developing your own software through the SDK.Create API key
Text generation
Speech generation
Javascript
Python
Curl

How it works Gemini 2.5 Pro Preview TTS?

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Frequently asked questions about Gemini 2.5 Pro Preview TTS

Can I use Gemini 2.5 Pro Preview TTS results for commercial purposes?

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.

What can Gemini 2.5 Pro Preview TTS do and what tasks is it suitable for?

Gemini 2.5 Pro Preview TTS synthesizes speech: it takes text, as well as images and documents, as input and outputs audio. It is suitable for voiceovers for videos and podcasts, audio versions of articles and instructions, and voice responses in applications. Accessible from Russia without a VPN or foreign card.

In what quality and format does Gemini 2.5 Pro Preview TTS generate?

Technical track parameters, format, and bitrate are not specified in our data, so we cannot provide exact figures: it is easier to check with a test request. What is known is that the model accepts up to 200,000 context tokens and outputs up to 32,000 tokens in the response, so a long script can be submitted in its entirety.

Can Gemini 2.5 Pro Preview TTS reason before answering?

Yes, reasoning before answering is confirmed for the model. In practice, this helps to understand the structure of a long or ambiguous text before voiceover: where a semantic pause is, which fragment to highlight, how to read an abbreviation or numerical entry. For complex scenarios, this is more important than speed.

Does Gemini 2.5 Pro Preview TTS support function calling and JSON output?

Yes, both are supported: the model can call functions and output structured JSON, making it easy to integrate into pipelines and ready-made services. On BotHub, access is via a unified OpenAI-compatible API, so the model can be switched without rewriting the integration.

Can I upload images, audio, or video to Gemini 2.5 Pro Preview TTS?

The model accepts images and documents as input, which is confirmed by our data, so you can give it, for example, a PDF with a script. We have no notes on audio and video input: we do not deny it, but we do not promise it either; check with a test request.

How well does Gemini 2.5 Pro Preview TTS understand the Russian language?

There are no separate measurements for the Russian language in our data, so we will not give estimates: it is more reliable to run your own real text and listen to the result. BotHub itself is Russian-speaking, with interface, support, and payment via Russian cards in rubles, without VPN or a foreign card.

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