GPT 4 Turbo
Neural Network
GPT-4 Turbo API is an OpenAI model with image recognition, JSON mode, and function calling for product and work tasks.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 128 000 tokens
- Max answer length
- 4 096 tokens
- Capabilities
- function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 4 Turbo?
GPT-4 Turbo is an OpenAI model that accepts both text and images. It can process image requests in JSON mode with function calling, features absent in earlier versions. Training data is up to December 2023. This combination is useful when you need a structured response strictly following a schema or need to call external tools directly from the chat: the model returns a ready-to-use object instead of text that requires parsing. In BotHub, you can use it without a VPN or foreign card: pay with Russian cards in rubles for actual token usage, which never expire. Nearby, in the same window, are over 250 other neural networks, making it easy to switch between them and compare answers. A unified OpenAI-compatible API allows you to switch models without rewriting integrations. Chats are encrypted, and for companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. Simple scenarios include: analyzing screenshots, diagrams, and document scans; code development and debugging; assistants with function calling and access to your databases and services; and extracting data from emails and tables into strict JSON.Frequently asked questions about GPT 4 Turbo
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-4-turbo works with text, documents, and images: it answers questions, writes and refactors code, analyzes reports, and prepares summaries and drafts. The 128,000-token context allows you to upload large materials in full and discuss them in a single chat without losing details from the beginning of the conversation.
In one response, the model generates up to 4096 tokens — that's several pages of coherent text. If you need a large document or a big code file, ask it to break the work into parts and continue: the 128,000-token context keeps the entire previous conversation.
A separate reasoning mode is not noted in our data. However, you can ask the model to break down the task step-by-step directly in the prompt — discuss conditions, options, and verification. For logic, calculations, and code analysis, this usually significantly improves the quality of the response.
Yes. gpt-4-turbo supports function calling and structured JSON output, making it convenient to integrate into agents, chatbots, and internal services. Through the unified OpenAI-compatible BotHub API, you connect the model once and then switch to another without rewriting the integration.
Images and documents — yes: send a screenshot, diagram, photo of a page, or file and ask it to analyze the content. Audio and video input is not noted in our data, nor is generating anything other than text. For such tasks, BotHub has separate models.
The language of prompts and responses is not specified in our data, so we won't promise anything specific — it's better to test it with your own task. The BotHub interface is in Russian, access is without VPN or foreign cards, payment is via Russian cards, and tokens do not expire, so you lose nothing by testing.