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 text model with a 200,000 token context window: it writes and edits texts, answers questions, helps with code, and analyzes documents and images. It is suitable for fast and high-volume tasks — summaries, classification, and user support, including batch processing mode.

Up to 32,000 tokens per response — that's dozens of pages of text. Enough for a long article, a detailed document analysis, or a large code snippet. If you need more volume, break the task into parts and continue generation in the next request, building on what has already been written.

There is no specific note about a reasoning mode in our data, so we won't promise it. In practice, a simple trick helps: ask the model to write out the solution steps directly in the prompt — for logical and analytical tasks, the answer usually turns out to be more accurate and verifiable.

This is not explicitly marked in our data, but that doesn't mean the capability isn't there. It is best to test it with your own scenario: BotHub provides a unified OpenAI-compatible API, so a request with function descriptions or the required response schema can be sent in the usual way, without rewriting the integration.

Images and documents — yes, this is noted in our data: send a scan, PDF, table, or photo and ask to extract data, summarize, or explain the content. There is no note regarding audio and video, so for such formats, it is more convenient to use specialized models from the catalog.

Our data contains no information about the language capabilities of this model, so we will not make any promises. The most honest way is to test it with your own requests: send a couple of typical tasks and compare it with another model in the same window. Access from Russia without VPN, payment in rubles.