What you'll learn

Picking the right model shouldn't mean guessing between speed, cost, and capability every time you open a chat window. In this course, AI Snapshot: OpenAI GPT 5.6, you'll learn to match Luna, Terra, and Sol to the task at hand and manage the risks that come with Sol's added autonomy.

First, you'll explore what separates the three models, including context windows, output limits, long-context pricing, and where each one earns its cost on real work. Next, you'll discover how Codex exposes these models through model and effort controls, what the benchmarks actually show about the cost-to-capability tradeoff, and when a Pro allowance is worth spending. Finally, you'll learn about Sol's documented tendency to exceed user intent, the reported incidents tied to broad agent permissions, and the guardrails needed to keep an agentic session from touching more than it should.

When you're finished with this course, you'll have the skills and knowledge of the GPT-5.6 model family needed to choose the right model for a task and run it safely.