GPT-5.6 Sol, Terra and Luna: which model is good at what?
Sol is for deep difficult work, Terra for balanced daily production, and Luna for speed and volume. Where can you use each one, and when should you choose it?
I compare AI models and coding agents through real use cases, then explain which tool, model and setting makes sense for each task.
Compare Sol, Terra and Luna by task type, then choose the model that fits your work.
Sol is for deep difficult work, Terra for balanced daily production, and Luna for speed and volume. Where can you use each one, and when should you choose it?
Practical guides to model selection, coding agents, reasoning settings and output verification.
Plan, read-only, auto-edit, and full access are not for the same job. Choose Codex, Claude Code, and Gemini CLI permissions by task side effects.
Low, medium, high, xhigh, and max should not be used for the same work. Route coding tasks by risk, ambiguity, and verification cost.
A task-led comparison of three terminal agents, separating vendor claims from tested results and focusing on repository edits, reasoning, permissions and solo-builder verification.