OpenAI GPT-6 series guide: model choice, prompts and long-task management

A model guide for the GPT-6 family

OpenAI's GPT-6 series guide covers how to pick a model, tune prompts and skills, and manage the time and cost of long tasks. GPT-6 Astra targets hard reasoning, GPT-6.1 Sol targets complex coding, research and computer use, and GPT-6 Luna targets well-defined repetitive work at scale. The guide says to measure task success rate, latency and cost per successful task before deploying.

Why it matters: OpenAI folds model choice, reasoning effort and cache management into one production practice, with success rate, latency and cost per successful task as the basis for tuning.