This advanced reasoning and retrieval model combines real-time web search, verifiable citations, and step-by-step analysis to answer complex, multi-stage questions. It’s built for strategy work, research synthesis, and technical inference across coding, engineering, and documentation. With a large context window (~128K tokens), it processes long reports and multi-source content, returning structured outputs you can audit. Prompting with instructions like “analyze step by step,” “list sources,” or “extract 5-year trends” improves quality and transparency. While powerful, long contexts and many search results can increase latency and cost, so plan budgets and review outputs for accuracy, logic, and consistency.
