GPT 6 Sol Pro
Neural Network
GPT-6 Sol Pro is an OpenAI model with pro reasoning mode for complex tasks; GPT-6 Sol Pro API is available in the BotHub interface.
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 Pro?
GPT-6 Sol Pro is a version of OpenAI's GPT-6 Sol that operates with the reasoning.mode parameter set to 'pro': the model spends more effort on reasoning and provides higher-quality answers for complex tasks. The base model is the same; only the request processing mode differs, so prompts and integrations remain unchanged, with only the depth of the response analysis changing. In BotHub, the model is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles based on actual usage, and unused tokens do not expire. Over 250 neural networks are available in the same window, making it easy to switch between them and compare answers. A unified OpenAI-compatible API allows you to connect GPT-6 Sol Pro to your service and switch models if needed without rewriting the integration. Data is encrypted, and for teams, we offer contracts, invoices, electronic document management (EDO), and an admin panel with limits. It is useful for breaking down multi-step tasks, proofreading and refactoring code, synthesizing disparate materials into an analytical note, verifying calculation logic, or preparing technical solutions with justifications.Frequently asked questions about GPT 6 Sol Pro
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 that also accepts images and documents as input. It is suitable for working with code, analyzing voluminous materials, analytics, and STEM tasks: a 1,050,000 token context window allows you to keep entire repositories and large sets of documentation in a single dialogue.
The output limit is up to 128,000 tokens per response. This is enough for full documentation, major refactoring, or a long analytical report in its entirety, without manual stitching of pieces. If the response hits the limit, simply ask it to continue from the next section.
Yes, a reasoning mode is included in the model's capabilities. It breaks down the task step-by-step before providing a result, which significantly helps with mathematics, logic, code debugging, and anywhere a chain of reasoning is important rather than an instant answer.
Yes, the model supports function calling and structured JSON output, making it easy to integrate into agents, chatbots, and work pipelines. In BotHub, all this is available via a unified OpenAI-compatible API — you can switch models without rewriting the integration.
In addition to text, the model accepts images and documents. Send a screenshot of an interface, a diagram, a chart, a PDF, or a report — and get an analysis, extracted data, or conclusions about the content. Audio and video input is not noted in our data for this model.
We do not have separate benchmarks for Russian for this model, so we will not make promises — it is more reliable to test it on your real task. The BotHub interface, support, and payment with Russian cards are in Russian, and access works from the Russian Federation without a VPN.