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OpenAI publishes a practical GPT-6 building guide

OpenAI has published a practical guide to the GPT-6 family. It covers choosing a model, giving clear assignments, managing long-running work and preparing a workflow for production.

Evaluate the whole task, including time and cost

The model guide distinguishes Astra for the hardest reasoning, Sol for complex coding and professional tasks, and Luna for focused repeated work. It also discusses reasoning effort, prompt caching, compaction and coordination between independent tasks.

OpenAI published guidance for choosing models and structuring GPT-6 tasks in production. It discusses clear assignments, output requirements, longer running work and computer use, while emphasizing workload fit rather than using one model for everything.
Trion

Evaluate the whole task

Astra
The hardest reasoning
Sol
Complex coding and professional tasks
Luna
Focused repeated work
Evaluation
Reasoning effort, time, cost and task acceptance
These are workload roles from the guide, not a measured ranking for your own tasks.
View data
EvidenceMeaning
AstraThe hardest reasoning
SolComplex coding and professional tasks
LunaFocused repeated work
EvaluationReasoning effort, time, cost and task acceptance

OpenAI · published 2026-10-02. Source-bound illustration, not a performance benchmark.

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The production advice includes representative evaluations, monitoring and data controls. Clear instructions define the required output, the actions a model may take independently and when it should ask for input. The guide describes workload tradeoffs; it does not establish that one model is the best choice for every business process.

Original sources

  1. OpenAI: original guidanceopenai.com

Checked 9 Oct 2026 · A manually curated edition. Availability may change; company performance claims are not Trion test results. Editorial method.