Codex Workflow: Try GPT-5.6 Luna First, Escalate to Sol
Melvin Vivas · X post · 2026-08-31 · Open on X
Topics: AI Dev Tools & Productivity, LLM Fundamentals · Level: beginner
Summary
A model-escalation tip for OpenAI Codex. Start each task with the Luna model, and only move to Sol if Luna can't fix the issue. The creator says this makes better use of usage limits on a Plus plan.
Key points
- Use Luna as the default model for Codex tasks.
- Switch to Sol only when Luna fails to fix an issue.
- Escalating step by step like this saves usage limits, especially on the Plus plan.
- General pattern: start with the cheaper or lighter model and escalate to the stronger one only when needed.
Resources mentioned
- OpenAI Codex · tool · openai.com · paid
OpenAI's coding agent. In the diagram it writes code, fixes review findings and drives the build loop. The creator also used it to make this video.
Also in: An agent bot that installs and drives Codex on its own (Melvin Vivas on X · notes), Asking a Coder bot to install Codex (Melvin Vivas on X · notes), Sign in with ChatGPT: Setting Usage Limits for Each App (Melvin Vivas on X · notes), Codex Cloud Environments Must Be Saved & Published Before Use (Melvin Vivas on X · notes) and 240 more
Try this
- In Codex, start tasks with Luna and switch to Sol only if Luna can't solve the problem.
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