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.

gpt-5.4-pro works with text, documents, and images, reasons before answering, and supports function calling. A 1,050,000 token context allows handling large codebases or batches of reports entirely: refactoring, debugging, requirements analysis, STEM tasks, and analytics on long materials.

Up to 128,000 tokens in a single response—the size of a large document or an entire voluminous code module, without manual stitching. If the response hits the limit, just ask it to continue: the dialogue context is preserved, and the model will complete the text.

Yes, the reasoning mode is confirmed. The model runs an internal chain of thought before providing a result—the difference is noticeable in math, logic, code analysis, and tasks where the order of steps matters. For simple questions, this is often overkill.

Yes, function calling and structured JSON output are supported. This allows using gpt-5.4-pro in agent scenarios: accessing your services, database searches, and calculations. In BotHub, everything goes through a unified OpenAI-compatible API, so you won't need to rewrite the integration for another model.

Images and documents—yes, and documents are processed natively: screenshots, diagrams, scans, and files with complex formatting. Audio and video input are not listed in our data, so for voiceovers or recording analysis, it is more convenient to switch to a specialized model in the same window.

The language of prompts and responses is not specifically noted in our data, so we cannot promise exact ratings for Russian. Test it with your own task: send the same request to gpt-5.4-pro and another model, then compare the results in one window.