GPT 5.6 Luna Pro Batch
Neural Network
GPT 5.6 Luna Pro is an OpenAI model with pro reasoning mode: gpt 5.6 luna pro api for complex tasks and long reasoning.
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 Luna Pro Batch?
GPT 5.6 Luna Pro is the same base OpenAI model as GPT 5.6 Luna, but running with pro reasoning mode: it spends more effort on analysis for complex tasks and provides higher quality answers. The batch processing option is suitable when it is more convenient to send requests in batches rather than one by one in real-time. In BotHub, the model works without a VPN or foreign card: you pay with a Russian card in rubles and only for the tokens actually consumed, which do not expire on a subscription schedule. Nearby, in the same window, there are over 250 other models, so you can compare answers or switch to a neighboring model without rewriting the integration: the API remains OpenAI-compatible, correspondence is encrypted, and for companies, there is a contract, invoice, and admin panel with limits. It is useful for breaking down multi-step math or analytics tasks, completing long refactoring and finding the cause of a code error, checking specification logic before implementation, proofreading a voluminous document and extracting conclusions, and running hundreds of similar requests for classification or data labeling in batch mode.Frequently asked questions about GPT 5.6 Luna Pro Batch
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: it analyzes long documents, writes and refactors code, and helps with analytics and STEM tasks. A context of 1,050,000 tokens allows you to upload an entire repository, a collection of reports, or a knowledge base and work with them in a single dialogue without losing details.
The output limit is 128,000 tokens per response. This is enough for a voluminous document, a large code module, or a detailed analysis in its entirety, without splitting into parts. If the response is cut off, ask it to continue — the model will finish from where it left off.
Yes, the model has a reasoning mode: before the final answer, it breaks down the task step-by-step. This is noticeable in math, logic, code debugging, and multi-stage analysis, where it is important not to guess the result, but to consistently reach it and check itself.
Yes, the model supports function calling and structured JSON output. It can access your tools and return an answer according to a specified schema — convenient for agents and integrations. Connection is via the unified OpenAI-compatible BotHub API.
The model accepts images and documents as input — you can send a screenshot, diagram, scan, or file and ask it to analyze the content. Audio and video support is not noted in our data. You get text as output: this model does not generate images or sound.
We do not have specific data on the quality of Russian for this model, so we will not make any promises — it is better to check with your own tasks. In BotHub, this is fast: send one prompt to several models in one window and choose the one whose answer satisfies you.