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 Google Gemini model that accepts text, images, and documents, and responds with text. It is suitable for dialogues, analyzing files and images, preparing drafts, summaries, and answering questions based on materials. In BotHub, it is available without a VPN or foreign card, with payment via Russian cards.

The output limit is up to 32,000 tokens per response, which is enough for a lengthy article, a detailed document analysis, or a long code snippet. The context window is 65,536 tokens, which accommodates your request, attached materials, and the response itself.

A separate reasoning mode is not noted in our data for this model. However, you can ask it to break down a task step-by-step directly in the prompt — this often improves the quality of the analysis. If explicit reasoning is needed, there are other models available in BotHub.

Our data does not indicate support for function calling or structured output, so we cannot guarantee it. The easiest way to check is in practice: requests go through the unified OpenAI-compatible BotHub API, and you can switch to another model without rewriting the integration.

The model accepts text, images, and documents as input — you can attach a screenshot, photo, diagram, PDF, or report and ask it to analyze the content. Audio and video input is not noted in our data. The model returns the response in text.

The Gemini family of models was trained on multilingual corpora and works confidently with Russian-language queries and documents. It is best to evaluate the quality based on your own tasks: in BotHub, you pay per token, without a subscription, so a short test will cost minimal expenses.