GPT 6 Astra Batch
Neural Network
GPT 6 Astra by OpenAI is a flagship model for deep analysis, code development, and research tasks in batch mode.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 050 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- low, medium, high, extra high, max
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 6 Astra Batch?
GPT 6 Astra is OpenAI's flagship model designed for complex work from task definition to final result: advanced analytics, software development, deep research, scientific tasks, and document preparation. A particular strength is long, multi-step scenarios where you need to maintain focus and consistently complete the work. The batch version is designed for batch request processing. In BotHub, the model works without a VPN or foreign card: you pay with a Russian card in rubles based on actual token usage, and unused tokens do not expire. Over 250 models are available in one window for easy switching, and a unified OpenAI-compatible API allows you to connect GPT 6 Astra to your services and switch models without rewriting integrations. Correspondence is encrypted, and companies have access to contracts, invoices, electronic document management (EDO), and an admin panel with limits. Analysts process batches of reports, developers assign refactoring and debugging of large codebases to the model, researchers compile source reviews and test hypotheses, and editors and lawyers prepare voluminous documents using a single template.Frequently asked questions about GPT 6 Astra 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.
gpt-6-astra:batch is a text model with reasoning capabilities: it analyzes long documents, writes and refactors code, finds bugs, and solves problems in mathematics and other STEM disciplines. A context window of up to 1,050,000 tokens allows you to upload entire codebases, reports, and collections of materials in a single request.
In a single response, the model outputs up to 128,000 tokens — that's dozens of pages of text. It's enough for a large technical document, a chapter translation, a full code analysis, or a long series of edits without breaking the task into parts. Payment is based on actual token usage, with no subscription.
Yes, reasoning before answering is confirmed by our data. The model first breaks down the condition step-by-step and only then formulates a conclusion — this is noticeable in mathematics, logic, code debugging, and long documents where you need to connect facts from different parts of the text.
Yes, the model supports function calling and structured JSON output. You describe the tools, it decides when to call them, and returns the answer in the specified schema — convenient for agents, parsers, and integrations where the result goes directly into your system.
Images and documents — yes, these are confirmed input formats: you can send a screenshot, diagram, PDF, or contract and ask for an analysis. Audio and video are not noted in our data, so please check for support in the BotHub interface before building a process around it.
We do not have data on languages, so we won't promise anything specific — please test it with your task. BotHub itself works in Russian: the interface, payment with Russian cards, access without VPN or foreign cards, and unused tokens do not expire.