GPT 6 Luna Pro
Neural Network
GPT 6 Luna Pro is an OpenAI model with pro reasoning mode, designed for complex tasks and detailed analysis
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 Luna Pro?
GPT 6 Luna Pro is the same model as OpenAI's GPT 6 Luna, but with the reasoning.mode parameter set to 'pro': it reasons more thoroughly on complex tasks and provides higher quality answers. The difference from the base version lies in the operating mode, making it easy to choose between them for specific tasks: leave routine work to the standard Luna, and entrust heavy reasoning chains to the Pro version. Via BotHub, the model is accessible from Russia without a VPN or foreign card, and you pay in rubles as you go — only for tokens actually used, which do not expire. With over 250 neural networks in one window, you can compare answers to the same prompt in a few clicks, and a unified OpenAI-compatible API eliminates the need to rewrite integrations when switching models. For companies, BotHub provides contracts, invoices, and an admin panel with limits. Simple scenarios: break down a multi-step task into a clear plan, check logic in calculations and texts, work on code and understand someone else's solution, synthesize disparate materials into an analytical note, or prepare responses where output quality matters more than speed.Frequently asked questions about GPT 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-6-luna-pro is a text model with a 1,050,000 token context, reasoning mode, and tool support. It is suitable for working with large documents and codebases, analytics, STEM tasks, refactoring and debugging, as well as analyzing images and files uploaded as input.
Up to 128,000 tokens in a single response — this is the volume of a large document: a detailed technical specification, a chapter translation, an analysis of a long contract, or an entire large code module. If you need more, break the task into parts and pass the result in the next request.
Yes, a reasoning mode is stated in the model's specifications: before the final answer, it builds a chain of thought. This significantly helps with tasks involving math, logic, multi-step data analysis, and debugging code, where the order of intermediate conclusions is important.
Yes, the model supports function calling and structured JSON output, making it easy to integrate into agents and pipelines: it selects the necessary tool itself and returns the answer in the specified schema. Connection is via the unified OpenAI-compatible BotHub API.
According to our data, images and documents are accepted as input, including native file processing — you can send an interface screenshot, diagram, scan, or PDF and ask to analyze the content. We have no notes regarding audio and video, so please count on text, images, and files.
There is no specific data on languages in the model description, so we will not make any claims — it is better to check with your own text. It is simple to do: open gpt-6-luna-pro on the website or in the BotHub Telegram bot; payment is per token used, without a subscription or VPN.