Avoid light and max. Stick to default model selection in Codex. Increase reasoning effort as you go. When the model fails on even xhigh, switch model and start from medium again.

It’s confusing indeed, but I like having many options, particularly considering that pricing can be wildly different depending on the model.

Maybe OpenAI can offer an "auto" mode for Codex on the subscriptions, while leaving the possibility of users manually overriding whatever model the router chooses. To me that would be the best of both worlds. The problem is building a competent model router.

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