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.

YandexGPT works with text: it writes and rewrites, summarizes large materials, answers questions based on uploaded documents, and helps with business correspondence, instructions, and educational texts. Through BotHub, the model opens in a single window alongside others, without VPN or a foreign card; payment is made on a pay-as-you-go basis for tokens that do not expire.

In a single response, the model generates up to 32,000 tokens, and the same volume — 32,000 tokens — is available to it as context. Tokens are not equal to words: in Russian text, one word usually breaks down into several tokens, so the actual volume of the finished text will be smaller and depends on the wording.

There is no separate reasoning mode in our data about the model — this capability is not noted there. This does not mean it doesn't exist: it cannot be confirmed based on the page data. In practice, the model constructs an answer based on the prompt and context. If step-by-step logic with analysis is needed, it is convenient to compare the result with other models in BotHub by switching in a single window.

In our data, function calling and structured JSON output are not noted, so we will not promise them. If the system requires a strict response format, you can connect another model in BotHub via a unified OpenAI-compatible API — you won't have to rewrite the integration.

According to our data, YandexGPT accepts text and documents as input — meaning it is convenient to upload text files and ask questions about them. Nothing is noted in the model data regarding images, audio, and video, so we cannot confirm their acceptance. You should check the model's documentation to clarify this.

YandexGPT is a Yandex model, and Russian is one of its primary languages: it confidently handles coherent text, business correspondence, and instructions in Russian. The language of prompts and responses is not separately specified in the page data, so we recommend checking the result with your own examples — fortunately, other models are available nearby in BotHub.