GPT-4o
Neural Network
GPT-4o is OpenAI's multimodal model: accepts text and images, responds with text, suitable for text and code tasks.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 128 000 tokens
- Max answer length
- 16 384 tokens
- Capabilities
- function calling, Batch API
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
Image prompt
(per 1K tokens)
How it works GPT-4o?
GPT-4o is OpenAI's multimodal model, where 'o' stands for omni: it accepts text and images as input and responds with text. In intelligence, it is on par with GPT-4 Turbo, and its multimodal input allows analyzing images directly in the chat without a separate recognition service. BotHub provides access without VPN or foreign cards: pay with a Russian card in rubles, only for tokens used, not for a subscription. Over 250 models are available in one window: easily compare answers and switch models. A unified OpenAI-compatible API eliminates the need to rewrite integrations. Chats are encrypted, and companies get access to contracts, invoices, electronic document management, and an admin panel with limits. For developers, GPT-4o helps write and refactor code and debug errors from log screenshots. For analysts, it extracts meaning from diagrams, tables, and document photos. For product teams, it helps build chat support and assistants within their services. For marketers and editors, it prepares drafts, rewrites phrasing, and proofreads texts. For students and engineers, it solves math and science problems step-by-step.Frequently asked questions about GPT-4o
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.
It is a universal OpenAI text model: writing and editing materials, answering questions, translation, coding, and analyzing documents and images. The 128,000-token context allows keeping long texts, reports, and large project fragments in the dialogue.
The single response limit is 16,384 tokens, enough for a long article, detailed instruction, or large code module. If the material is longer, just ask it to continue: the 128,000-token context will preserve the logic and style of previous parts.
A separate extended reasoning mode is not noted for this model in our data. However, you can ask it to break down a task step-by-step in the prompt — the model will detail the logic, which is especially useful for calculations, analysis, and code debugging.
Yes, the model supports function calling and structured JSON output, making it easy to integrate into agents, chatbots, and business processes. BotHub uses a unified OpenAI-compatible API: you can switch to another model without rewriting the integration.
According to our data, images and documents are accepted as input, including native file processing: the model will read a screenshot, diagram, table, or PDF and explain the content. Audio and video support is not separately noted in our data.
The model is multilingual and works confidently with Russian queries: it understands contextual phrasing, terminology, and documents. You can easily test the quality with your own task — in BotHub, access is open from Russia without a VPN or foreign card, with payment in rubles.