GPT 4o 2024 08 06
Neural Network
GPT 4o 2024 08 06 is an OpenAI multimodal model with structured output via JSON schema, gpt-4o api for production tasks.
Max answer length
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Context size
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Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 4o 2024 08 06?
GPT 4o is an OpenAI omni-model: the 'o' stands for omni, meaning it handles different data types in one interface. The 2024-08-06 version features improved structured output: pass a JSON schema in the response_format parameter to get a response in a strictly defined structure, without manual parsing or format fixing. In BotHub, the model is accessible from Russia without a VPN or foreign card, with pay-as-you-go billing via Russian cards, no subscription required. With over 250 models in one window, you can compare responses and switch models without rewriting your integration: the API is OpenAI-compatible. Chats are encrypted via AES-GCM, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. It is useful for extracting data from documents and emails into strict JSON, analyzing code and suggesting refactoring, building agents with function calling, performing analytics and STEM tasks with step-by-step reasoning, and answering users based on a knowledge base.Frequently asked questions about GPT 4o 2024 08 06
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-4o-2024-08-06 works with text, images, and documents: it parses files, answers questions about content, helps with code—from refactoring to debugging, writes and edits texts, and solves STEM tasks. The 128,000-token context allows you to keep a large project or long document in a single dialogue.
In a single response, gpt-4o-2024-08-06 generates up to 16,384 tokens—enough for a lengthy article, a large code module, or a detailed technical analysis. If the material exceeds the limit, simply ask it to continue, and the response will be assembled from several consecutive parts.
A separate reasoning mode is not noted in our data—this is a model that answers immediately. However, you can ask it to break down the solution step-by-step directly in the prompt, which usually significantly improves results for logic or coding tasks.
Yes. Function calling and structured JSON output are supported, making the model easy to integrate into agents, chatbots, and parsing pipelines where the response must strictly follow a schema. Connection is via the unified OpenAI-compatible BotHub API, and you can switch models without rewriting your integration.
Images and documents—yes: you can send a screenshot, diagram, photo, PDF, or file and ask it to describe, extract data, or summarize a table. Audio and video input are not noted in our data, so for voiceover or transcription, it is better to choose a specialized model from the catalog.
The language of prompts and responses is not fixed in our data, so we won't make promises for the model—test it with a couple of queries for your task. BotHub itself is fully accessible from Russia: the interface, payment with Russian cards in rubles, without VPN or foreign cards.