GPT-4o Batch
Neural Network
GPT-4o Batch is an OpenAI multimodal model accepting text and images: gpt-4o API for batch task processing.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 128 000 tokens
- Max answer length
- 16 384 tokens
- Capabilities
- function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT-4o Batch?
GPT-4o is an OpenAI multimodal model: it accepts text and images as input and outputs text, maintaining the intelligence level of the GPT-4 Turbo line. The "o" stands for omni: one model handles both text and visual queries. The Batch version is designed for processing large volumes of tasks where throughput is more important than instant response. In BotHub, the model works from Russia without a VPN or foreign card; you pay with a Russian card in rubles for tokens used, with no subscription. Requests go through a single OpenAI-compatible API, allowing you to switch to any of over 250 models without rewriting integration. Chats are protected by AES-GCM encryption. Companies have access to contracts, invoices, electronic document management, and an admin panel with team limits. It is useful for mass classification and labeling of customer requests, extracting fields from scans, screenshots, and tables, preparing product catalog descriptions, analyzing and refactoring code, and collecting annotated datasets for further training.Frequently asked questions about GPT-4o Batch
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, images, and documents: you can upload a PDF or scan, ask to parse data, write or debug code, or compile a report. The 128,000-token context holds entire documentation in one request, and function calling connects the model to your services. Suitable for batch processing of similar requests via API.
The output limit is 16,384 tokens per response, which is enough for a long article, detailed document analysis, or a large code module. If you need more, break the task into parts: the 128,000-token context allows you to pass what has already been written and continue without losing the thread.
In our data, a separate reasoning mode for this model is not noted — it usually answers immediately. However, you can ask it to break down the solution step-by-step, verify options, and show calculations: this significantly improves accuracy for logic, math, and code analysis tasks.
Yes, both: the model can call functions and return strict JSON according to your schema. This is the foundation for agents, parsers, and integrations where the response goes directly to a database or service. Requests go through the unified OpenAI-compatible BotHub API, so you can switch models without rewriting code.
Images and documents — yes: upload screenshots, photos, diagrams, PDFs, and entire files; the model will read the text and describe the content. Audio and video input is not noted in our data, so for voiceover or transcription, it is more convenient to switch to a specialized model — in BotHub, this is done in one window.
GPT-4o is known as a multilingual model and works confidently with Russian queries: it understands phrasing, terms, and context without translation. There are no separate language measurements in our data, so test it with your task — in BotHub, this is available without a VPN or foreign card, with payment in rubles.