GPT 4o Mini
Neural Network
GPT 4o Mini is a compact OpenAI model that accepts text and images and responds with text.
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 Mini?
GPT 4o Mini is a compact model from OpenAI's GPT-4o line: it accepts text and images as input and responds with text. It is a lightweight version of GPT-4o, making request processing significantly cheaper, which is why it is chosen for high-volume, repetitive tasks. In BotHub, it is accessible without a VPN or foreign card: you can pay with Russian cards in rubles on a pay-as-you-go basis, without a subscription, and unused tokens do not expire. Other neural networks are available in the same window, making it easy to send the same request to multiple models and compare answers. Developers have access to a unified OpenAI-compatible API: you can switch to another model without rewriting the integration, chats are encrypted, and BotHub provides contracts, invoices, and electronic document management for companies, along with an admin panel and limits. Use cases are simple: processing incoming emails and customer requests, extracting data from scans and screenshots, preparing drafts and summaries of documents, assisting with code and debugging, and serving as a fast layer in chatbots and internal services.Frequently asked questions about GPT 4o Mini
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-mini from OpenAI works with text, accepts images and documents as input, and calls tools. A 128,000-token context allows you to analyze long files, write and edit code, summarize correspondence, extract data, and handle mass chat scenarios via the unified BotHub API.
Up to 16,384 tokens per response, which is roughly several thousand words: an article, a large documentation section, or a substantial code snippet. If you need longer text, break the task into parts: the 128,000-token input window allows you to pass the entire context at once.
There is no separate reasoning mode noted in our data, so we will not promise it. In practice, the model responds quickly, and quality on logic tasks can be easily improved with a prompt: ask it to break down the task step-by-step or compare the answer with another model in the same window.
Yes. Function calling and structured JSON output are supported, so the model can be connected to your tools, databases, and external services. The BotHub API is compatible with OpenAI, so function schemas and response formats remain familiar, and switching to another model does not break the integration.
Images and documents — yes: send screenshots, photos, PDFs, and files, and the model will read them and respond with text. There is no mention of audio or video in our data. If you need to work with sound or video, BotHub has specialized models — you can switch in the same interface.
The model is multilingual and works with Russian, but there are no specific notes about this in our data, so please test it with your task: upload a typical document and compare the result with another model in the same window. The BotHub interface is in Russian, payment is via Russian cards, no VPN required.