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 an OpenAI text model with a 400,000 token context: it analyzes large documents and codebases, writes and refactors code, helps with debugging, and answers questions about uploaded files and images. It is suitable for analytics, STEM tasks, support, and any scenarios requiring a long context.

The output limit is 4096 tokens per response, which is several pages of text. For an article or a large code module, break the work into parts: ask it to continue from the necessary point or generate by sections. The input context remains huge — 400,000 tokens.

In our data, there is no specific note about internal reasoning, but 'effort' and 'verbosity' parameters are available: you can adjust the depth of processing and the detail of the response. In practice, the model handles step-by-step analysis well if you explicitly ask it to break down the solution step-by-step.

Yes, the model supports function calling and structured JSON output. You describe the schema, receive a predictable response, and pass it on to your code without parsing free text. Convenient for agents, database integrations, CRMs, and external services.

Images and documents — yes, including native file processing: the model will read a screenshot, diagram, table, or contract and answer based on the content. Audio and video input are not marked in our data — for voiceover, transcription, or video generation in BotHub, switch to a specialized model.

OpenAI models in this line work confidently with Russian: they understand queries, maintain terminology and style, and analyze Russian-language documents. There are no specific metrics for languages in our data, so it is easier to test it on your task — in BotHub, access is available without a VPN or foreign card, with payment in rubles.