OpenAI GPT-5.6 Sol is the flagship of the GPT-5.6 family — a frontier model for complex professional work, with a 1,050,000-token context window and up to 128,000 tokens of output. Strongest reasoning, coding, multimodal understanding, and long-form writing in the family. Supports text and image input, web search, and reasoning effort / summary display options. Best for large codebases, professional reports, and deep reasoning; for everyday tasks Terra or Luna is cheaper. If you need to search the web for information, please turn on the "Web Search" switch. Prompt example 1: (Upload a system architecture diagram, png) Analyze performance bottlenecks and components without redundancy, and propose a phased improvement plan. Prompt example 2: Write a research report on generative AI adoption in small businesses: current landscape, use cases, risks, expected benefits and a three-year roadmap. Prompt example 3: A cafe's monthly revenue fell 20% with steady foot traffic but smaller orders. Reason out likely causes, how to verify each, and prioritized fixes. Prompt example 4: (Upload a product requirements document, docx) Find conflicting and missing requirements, add acceptance criteria, and split them into user stories for three sprints. Prompt example 5: A regional bus company keeps losing riders. Compare three turnaround options, on-demand buses, tourist routes and a logistics partnership, on feasibility, risk and resources needed. Prompt example 6: In my A/B test, group A converted 50 of 1,000 users and group B 65 of 1,000. Is the difference significant? Explain the test you use and the limits of the conclusion. Prompt example 7: Write a 3,000-word popular science article for middle schoolers on how black holes form and are observed, with everyday analogies, common myths and a five-question quiz. Prompt example 8: Compare event sourcing with a traditional CRUD design for an order system, and show core Java code for storing and replaying events. Prompt example 9: A city must pick two of five candidate sites for new fire stations. Build an evaluation model using population, peak-hour travel time and coverage, explain your reasoning, and recommend sites. Prompt example 10: (Upload last year's and this year's org charts, png) Compare the changes, infer the strategy behind them, and point out units where responsibilities may overlap. 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: High Fast Mode: uses 2x credits Continuous conversation: Supported AI can make mistakes. Please verify important information.