Choosing the Right Codex Model and Effort Level for Research Tasks, Plus an Open-Source Skill
udmrzn · x · 2026-11-12
A guide to picking Codex models and reasoning effort for research work: Luna for repetitive tasks like bulk literature processing, Terra for visual work (images, PPT, chart checks), Sol for daily Python/data analysis/plotting/lit reviews, and Astra for method review, complex debugging, and derivations. Match effort level to task complexity instead of maxing out — it's just slower and costlier. The author also points to an open-source Skill, 'Model and Effort Selector,' that recommends model and effort per task type.
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