OpenAI GPT-6 Luna is the most efficient model of the GPT-6 generation, built for focused, high-volume tasks — fast responses for applications that make many calls — while keeping a 1,050,000-token context window and up to 128,000 tokens of output. Supports text and image input, web search, and reasoning effort (six levels from none to max, default medium; none replies fastest) / summary display options. Best for customer-support Q&A, classification, batch summarization, translation, and format conversion; it costs less than GPT-6 Sol and GPT-5.6 Luna, while GPT-6 Sol suits complex coding and multi-step agentic tasks and GPT-6 Astra remains the choice for the hardest end-to-end work. If you need to search the web for information, please turn on the "Web Search" switch. Maximum context window (input and output combined): about 1,050,000 tokens. Maximum total input per request (including history): 922,000 tokens. Maximum output per reply: about 128,000 tokens (model reasoning, if any, counts toward this limit). Maximum total upload size per request: 512MB (all files and message content combined). Accepted document formats: pdf, docx, xlsx, pptx, txt, csv (file content is provided to the model as extracted text). Accepted image formats: gif, jpeg, jpg, png, webp. Maximum number of images: 1500. Maximum size per image: 50MB. Maximum total image size per message: 384MB (text and history share the same request size limit; uploads close to the limit may still be rejected). Image dimensions: 200 to 8,000 pixels per side. Maximum image resolution: 36,000,000 pixels in total. Output content formats: Text/Image Pricing: Low This module supports continuous conversations. AI can make mistakes. Please verify important information.