The builder’s guide to GPT‑5.6
Learn how startups use GPT-5. 6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
The article explains how startups can select GPT‑6 models and adjust their reasoning effort. It offers guidance on improving prompts and skills, coordinating tools, and preparing production workflows.
Learn how startups use GPT-5. 6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
See how a group of leading developers use GPT-5 for the first time.
The OpenAI Blog announces that GPT‑6 enhances prompt caching, achieving higher cache hit rates and introducing new diagnostics, explicit breakpoints, and controls. These features are designed to reduce latency and costs for users. The post highlights the technical improvements that make GPT‑6 more efficient and cost‑effective.
OpenAI introduces GPT‑6 Astra, its most capable model for business. The new model boasts advanced reasoning, computer use, and improved writing and design judgment. It is positioned as the next generation of intelligence for work.
Learn how GPT-5 unlocks new possibilities in coding and design.
Learn how to build and use custom GPTs to automate workflows, maintain consistent outputs, and create purpose-built AI assistants.
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
OpenAI introduces GPT‑6 Sol and Luna, two new models designed to bring frontier intelligence to everyday work. The models offer different balances of capability and cost, allowing users to choose the level of performance that best fits their needs.
Introducing GPT-5. 5, our smartest model yet—faster, more capable, and built for complex tasks like coding, research, and data analysis across tools.
Model ML uses GPT-5. 6 Sol to carry finance work from research and analysis through editable, traceable PowerPoint decks and Excel workbooks.
Introducing GPT-4. 1 in the API—a new family of models with across-the-board improvements, including major gains in coding, instruction following, and long-context understanding.