GPT 5.6 Sol Pro
Neural Network
GPT-5.6 Sol Pro is an OpenAI model with pro reasoning mode: GPT-5.6 Sol Pro for code, analysis, and other complex tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 5.6 Sol Pro?
GPT-5.6 Sol Pro is the same GPT-5.6 Sol model from OpenAI, run with pro reasoning mode: it spends more effort thinking and provides higher quality responses where the task is complex and the cost of error is high. This mode distinguishes it from the standard version, so the workflow remains the same. In BotHub, it is accessible without a VPN or foreign card, with payment via Russian cards in rubles, charged per token used, without a subscription. Other models are available in the same window, making it easy to switch and compare responses. A unified OpenAI-compatible API allows you to connect GPT-5.6 Sol Pro to your service and switch models later without rewriting the integration. Chats are encrypted, and for companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. It is useful when you need to break down a multi-step task, write and debug code, check someone else's solution for weaknesses, synthesize disparate materials into an analytical note, or prepare a technical breakdown for your team.Frequently asked questions about GPT 5.6 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.
It is a text model that accepts images and documents as input. It is suitable for working with code: writing, refactoring, debugging, as well as analyzing large documents, analytics, and STEM tasks. A 1,050,000 token context window allows you to keep an entire codebase or a voluminous report in a single dialogue.
In a single response, the model outputs up to 128,000 tokens — that's hundreds of pages of text. Enough for a large code module, detailed documentation, or an extensive breakdown. If the response hits the limit, just ask it to continue: the context capacity will easily handle it.
Yes, the reasoning mode is confirmed: before answering, the model builds an internal chain of steps and only then provides the result. This significantly helps with math, logic, code debugging, and tasks where you need to break down conditions into parts and double-check yourself.
Yes, the model supports function calling and structured JSON output. You can connect it to external services, databases, and your own tools, receiving responses in a specified schema. In BotHub, this works via a unified OpenAI-compatible API, so the model can be changed without rewriting the integration.
Images and documents — yes: send a screenshot, diagram, chart, or the entire file and ask to analyze the content. Audio and video support is not noted in our data, so for audio or video analysis, it is more convenient to use a specialized model in the same BotHub window.
We do not have data on the quality of performance with specific languages, so we won't make any promises — test it with your task. BotHub itself is fully accessible from Russia: the interface and support are in Russian, payment is via cards in rubles, without VPN or foreign cards.