GPT 5.6 Sol Pro
Neural Network
GPT-5.6 Sol Pro is an OpenAI model with enhanced pro reasoning mode, GPT 5.6 Sol Pro API for complex multi-step tasks.
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 5.6 Sol Pro?
GPT-5.6 Sol Pro is the same GPT-5.6 Sol model from OpenAI, running with the reasoning.mode parameter set to 'pro': for complex queries, it reasons more thoroughly and provides higher quality answers, while the architecture and workflow remain the same. The batch version is designed for batch request processing, where quality and volume are more important than response speed. Through BotHub, the model is accessible from Russia without a VPN or foreign card; you can pay in rubles and only for what you use — tokens that do not expire. Over 250 models are available in one window: compare answers and switch between them without changing your interface. For products, there is a unified OpenAI-compatible API — one integration for all models. Correspondence is encrypted via AES-GCM; companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Use Sol Pro where the cost of error is high: analyzing large documents and analytics, multi-step tasks with calculations, code review and debugging, preparing research and strategies, and batch processing large sets of requests via API.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.
This is a text model with reasoning capabilities that accepts not only text but also images and documents as input. It is suitable for working with code — refactoring, debugging, analyzing third-party repositories, for STEM tasks, analyzing large reports and contracts, as well as for agent scenarios via function calling.
Up to 128,000 tokens per response — enough for voluminous documentation, a large code module, or a detailed analysis of an entire study without breaking the task into parts. The context window is 1,050,000 tokens, so input materials can also be uploaded in large batches.
Yes, the reasoning mode is confirmed. The model first breaks down the task step-by-step and only then provides the result — this is noticeable in mathematics, logic, architecture design, and bug root cause analysis, where a correct chain of reasoning is more important than a quick answer.
Yes, both function calling and structured JSON output are supported. The model can be connected to your tools, databases, and external services via the unified OpenAI-compatible BotHub API, and if necessary, you can switch to another model without rewriting the integration.
Images and documents — yes, including native file processing: interface screenshots, diagrams, scans, PDFs with tables. Audio and video are not listed in the stated capabilities of this model, so for transcribing recordings and working with videos, please select a specialized model from the BotHub catalog.
In our data, the language of queries and responses is not specifically recorded, so it is fairer to test the model on your actual task. In BotHub, this is easy: access without VPN or foreign cards, payment in rubles for actual tokens used, and other models are available in the same window for comparison.