GPT-4o 2024-11-20
Neural Network
GPT-4o 2024-11-20 is an OpenAI model for text and file processing, available via the unified BotHub API.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT-4o 2024-11-20?
GPT-4o is an OpenAI model that works with text and uploaded files. The 2024-11-20 version features more natural and lively writing, with phrasing that adapts more precisely to the task, making the output easier to read. File handling has been improved, making the model ideal when answers need to rely on your materials rather than just a short prompt. In BotHub, you can use it without a VPN or foreign card: pay with Russian cards for tokens used, which do not expire. Other models are available in the same window, making it easy to compare answers and switch without changing your workflow. The unified OpenAI-compatible API allows you to swap models in your service without rewriting integrations. Traffic is encrypted, and for companies, we offer contracts, invoices, EDI, and an admin panel with limits. It is useful for writing articles, newsletters, and product descriptions, analyzing documents and reports, drafting emails and presentations, maintaining an in-product assistant, or editing and shortening existing texts.Frequently asked questions about GPT-4o 2024-11-20
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 and documents, accepts images, and supports function calling and structured output. It is suitable for writing and analyzing code, extracting data from files, answering questions about images, dialogues, and analytics. The context window is 4095 tokens, so it is better to submit large materials in parts. In BotHub, access to the model is open from Russia without a VPN or foreign card.
The model generates up to 16,384 tokens per response — enough for a lengthy article, report, or large code snippet. The volume is limited by this cap and your prompt: short answers are also possible. Keep in mind that the context is 4095 tokens, so it is better to break long materials into parts.
This version does not have a separate mode for long, step-by-step reasoning like specialized reasoning models: the answer is generated immediately upon your request. However, function calling and structured output are available. If the task is complex, describe the plan or steps directly in the prompt for a more accurate result.
Yes, function calling and structured JSON output are confirmed for the model. This means it can be integrated into an application: it will return data according to a specified schema, call the necessary tool, or fill out form fields. Through the BotHub OpenAI-compatible API, such an integration can be easily migrated to another model.
The model accepts images and documents: you can upload a scan, table, or picture and ask questions about them — this is confirmed in our data. Audio and video are not listed as input formats, so you should check their support in the interface before starting your task.
There are no specific notes on Russian language quality in our data, so we cannot promise perfect style. The model works with many languages and usually understands and responds to Russian queries correctly. For important texts, verify the result with your own examples — in BotHub, this will take just a couple of requests.