GPT 6 Astra
Neural Network
OpenAI's flagship GPT 6 Astra model for code, deep analysis, scientific work, and document preparation.
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?
GPT 6 Astra is OpenAI's flagship model designed for complex tasks from problem definition to final result. It excels in advanced analysis, software development, deep research, scientific tasks, and document preparation. A key strength is long, multi-step scenarios where the goal must be maintained throughout. In BotHub, GPT 6 Astra is accessible without a VPN or foreign card: pay for tokens with a Russian card in rubles, use them as needed, and unused tokens do not expire. Over 250 models are available in the same window, allowing easy switching and comparison of responses to the same prompt. A unified OpenAI-compatible API lets you switch models in your product without rewriting integrations, and chats are protected by AES-GCM encryption. For companies, we offer contracts, invoices, electronic document management (EDO), an admin panel, and employee limits. The model helps developers analyze and refactor large codebases and debug errors, analysts synthesize findings from disparate materials, researchers conduct scientific topic analysis, and teams prepare reports, specifications, and documentation.Frequently asked questions about GPT 6 Astra
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 is a text model with reasoning before answering. It works with a context of up to 1,050,000 tokens, accepts images and documents as input, calls functions, and returns structured JSON. It is suitable for analyzing large materials, working with code, STEM tasks, and integration into your own services.
The output limit is up to 128,000 tokens per response. This is enough for a voluminous document, a large code module, or a detailed analysis in its entirety, without stitching together multiple requests. If the response hits the limit, ask it to continue or break the task into parts.
Yes, the reasoning mode is confirmed by our data: the model first builds a solution path and then provides the result. This significantly helps with tasks requiring a chain of steps — mathematics, logic, code debugging, analyzing long documents, and comparing contradictory sources.
Yes, both. The model can perform function calling and return structured JSON according to a specified schema, making it convenient for agent scenarios and pipelines. In BotHub, this is available via a unified OpenAI-compatible API.
According to our data, images and documents are confirmed as input, including native file processing: you can send a screenshot, diagram, scan, or contract and ask to analyze the content. We have no notes regarding audio or video, so please count on images and documents.
There is no specific note about languages in our data, so we cannot promise accuracy. It is easy to check: open gpt-6-astra on the website or in the BotHub Telegram bot, ask your typical question, and compare it with another model in the same window — payment in rubles, no VPN.