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.

The model works with text, documents, and images: it analyzes long materials, writes and edits code, explains errors, and helps with analytics and STEM tasks. A context of 65,536 tokens allows you to keep a large report, technical specification, or several files in one dialogue at once.

Up to 32,000 tokens per response — that's dozens of pages. Enough for a voluminous article, detailed documentation, or a large code module without splitting it into parts. If you need more, just continue in the same dialogue: the context is preserved.

A separate reasoning mode is not noted in our data, but a step-by-step analysis can be set via a prompt: ask it to break down the task into steps and show intermediate conclusions. For logic, mathematics, and code debugging, this noticeably improves the quality of the result.

There is no such note in our data, so we cannot guarantee it in advance — check it with your scenario. Requesting a structure directly in the prompt usually works: describe the schema and ask it to return only JSON. The BotHub API is compatible with OpenAI, and the request format is standard.

Images and documents are accepted as input: ask it to describe a screenshot, extract numbers from a table, or analyze a contract or presentation. Audio and video input is not noted in our data — if you need to work with sound, switch to a suitable model in the same window.

The Gemini family is multilingual, and the model works confidently with Russian queries: it handles complex phrasing, terminology, and the context of a long document. We won't vouch for every nuance of style — check it with your tasks and, if desired, compare it with another model in the same window.