GPT-5.6 Luna Pro
Neural Network
GPT-5.6 Luna Pro is an OpenAI model with pro reasoning mode: GPT-5.6 Luna Pro for code, STEM tasks, and multi-step analytics.
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 Luna Pro?
GPT-5.6 Luna Pro is the same base model as OpenAI's GPT-5.6 Luna, but run with the reasoning.mode parameter set to 'pro': it reasons deeper and provides higher-quality answers for complex tasks. The difference from the standard version is not in the architecture, but in the depth of response processing, so the choice is simple: use the base version for draft queries and the 'pro' version for critical ones. In BotHub, the model is accessible from Russia without a VPN or foreign card, and you pay with Russian cards in rubles based on actual usage, with no subscription required. Other neural networks are available in the same window: you can easily run the same query through multiple models and compare answers. Developers have access to a unified OpenAI-compatible API—no need to rewrite integration when switching models, and data is transmitted with AES-GCM encryption. For companies, BotHub provides contracts, invoices, and electronic document management, as well as an admin panel and team limits. Choose GPT-5.6 Luna Pro for code analysis and refactoring, troubleshooting complex errors, tasks involving STEM calculations and multi-step logic, data analytics, and verifying solutions where the cost of error is high.Frequently asked questions about GPT-5.6 Luna 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.
gpt-5.6-luna-pro works with text: it writes and edits, analyzes code, and solves reasoning tasks. It accepts images and documents as input, making it suitable for analyzing reports, diagrams, and screenshots. A context window of up to 1,050,000 tokens allows you to work with large archives of correspondence and documentation.
The single response limit is 128,000 tokens. This is enough for a long document, a large section of code, or a detailed analysis in its entirety, without splitting it into parts. If the material still doesn't fit, just ask it to continue in the next message—the conversation context is preserved.
Yes, the reasoning mode is confirmed: the model first builds a solution path and then provides an answer. This is noticeable in math, logic, code debugging, and multi-step tasks where it is important not just to guess the result, but to carefully go through all intermediate steps.
Yes, both function calling and structured JSON output are supported. The model can access your tools, databases, and external services, and respond strictly according to a specified schema. Through the unified OpenAI-compatible BotHub API, such scenarios can be built without rewriting the integration for each model.
Images and documents—yes: you can send a screenshot, diagram, table, or document and ask it to analyze the content. There is no note in our data regarding audio and video input, so for such formats, it is better to choose a model in the BotHub catalog that works with them directly.
There is no specific note about languages in our data, so we won't promise anything specific—it's easier to test it with your own task. The BotHub interface, website, and Telegram bot are in Russian, with access from Russia without a VPN or foreign card, and payment via Russian cards.