GPT 6 Sol Batch
Neural Network
GPT-6 Sol is an OpenAI GPT-6 series model for demanding professional tasks, available via gpt-6 sol api in BotHub.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 050 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- none, 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 Sol Batch?
GPT-6 Sol sits between the flagship GPT-6 Astra and the fast GPT-6 Luna: it is a high-end OpenAI model designed for demanding professional tasks with more efficient resource usage. The batch version is intended for batch processing, where requests can be sent as an array without waiting for real-time responses. Connection in BotHub requires no VPN or foreign cards; you pay with a Russian card in rubles only for what you use—tokens do not expire. Over 250 models are gathered in one window, so you can compare Sol's response with another model in a few clicks, and a unified OpenAI-compatible API allows switching models without rewriting integrations. Chats are encrypted via AES-GCM and not saved, and teams have access to contracts, invoices, EDI, an admin panel, and limits. Scenarios are simple and clear: code analysis, refactoring, and debugging, analytics of large text and document sets, technical documentation preparation, research and STEM tasks, and background request queue processing in products.Frequently asked questions about GPT 6 Sol 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 with reasoning and a context window of up to 1,050,000 tokens. It is suitable for analyzing large documents, working with code, parsing reports and research, preparing analytics, and complex multi-step tasks where you need to keep the entire material in memory.
In one response, the model outputs up to 128,000 tokens. This is enough for voluminous documentation, a detailed contract analysis, a large code module, or a detailed analytical report without splitting the task into many separate requests.
Yes, according to our data, gpt-6-sol:batch has a reasoning mode: the model first builds a chain of steps and then formulates a conclusion. This helps with math, logic problems, code debugging, and parsing conditions where the sequence of conclusions is important.
Yes, the model supports function calling and structured JSON output. It is convenient to connect it to external services, databases, and internal tools via the unified OpenAI-compatible BotHub API and receive a predictable response format for further processing.
Images and documents are accepted as input: you can send a screenshot, diagram, table, or file and ask to analyze the content. There is no mention of audio or video in our data, so expect to work with text, images, and documents.
GPT family models work confidently with Russian texts and documents. It is easy to check the quality on your tasks: in BotHub, access is open without VPN or foreign cards, and payment is in rubles for actual usage of tokens that do not expire.