GPT 5.2 Batch
Neural Network
GPT 5.2 Batch is an OpenAI model with adaptive reasoning for agentic tasks and long context in batch mode.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 400 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- none, low, medium, high, extra high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 5.2 Batch?
GPT 5.2 Batch is an OpenAI GPT-5.2 model variant designed for batch request processing. It features adaptive reasoning: the model allocates compute resources dynamically, responding quickly to simple tasks and using more steps for complex ones. Compared to GPT-5.1, it has improved agentic capabilities and long context handling—it maintains stability in multi-step tasks and processes large input volumes more accurately. Via BotHub, the model is available without a VPN or foreign card: pay with a Russian card in rubles only for the tokens you use, which do not expire. Connection is via a unified OpenAI-compatible API, allowing you to switch to any of over 250 models without rewriting integrations, with chat history encrypted via AES-GCM. Companies have access to contracts, invoices, electronic document management (EDO), and an admin panel with team limits. The batch format excels where there are many requests and an instant response isn't required: labeling and classifying text arrays, generating catalog descriptions, parsing large documents and reports, regular analytical runs, and background stages of agentic pipelines.Frequently asked questions about GPT 5.2 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.
This is a text model variant of GPT-5.2 for batch request processing. It works with long texts and code, parses uploaded images and documents, and answers based on file content. Suitable for analytics, support, refactoring, data extraction, and processing large volumes of material.
Up to 128,000 tokens in a single response—enough for a voluminous report, a large code module, or a detailed contract analysis. The context window is 400,000 tokens, so it accommodates both the response and substantial source material.
Yes, reasoning mode is supported. The model breaks down the task into steps and verifies the solution path before providing a result. This significantly helps with math, logic, code debugging, and anything where the sequence of actions is more important than instant response speed.
Yes. Both function calling and structured output based on a schema are available, making the model easy to integrate into agents, pipelines, and internal services. In BotHub, this works via a unified OpenAI-compatible API, so you can switch to another model without rewriting integrations.
In addition to text, the model accepts images and documents, with documents processed natively without separate recognition. Send a screenshot, diagram, table, or file and ask for an analysis. Input support for audio and video is not noted in our data.
We do not have specific language metrics in our data, so we cannot promise exact figures. The GPT line is inherently multilingual, and the easiest way to check quality is with your own materials: the long context allows you to upload real documents and compare the result with another model in the same window.