If I'm understanding correctly now when you want to use Codex to do a given task you need to decide between:

    GPT-6   Astra (low medium high xhigh max ultra)
    GPT-6   Sol   (low medium high xhigh max ultra)
    GPT-6   Luna  (low medium high xhigh max ultra)

And that's not even counting the GPT-5.x models:

    GPT-5.6 Sol   (low medium high xhigh max ultra)
    GPT-5.6 Luna  (low medium high xhigh max ultra)
    GPT-5.6 Terra (low medium high xhigh max ultra)
    
    GPT-5.5       (low medium high xhigh max ultra)

And then there's a fast mode toggle for all of it, too.

Not exactly a low-friction user experience!

Like are you supposed to just somehow intuit, “ah yeah, this task is definitely a GPT-6 Sol Medium task,” or something?

Is this just second nature for OpenAI employees? How are end users supposed to know how to optimally choose a model for a given task? Am I missing something completely here?

▲ Alifatisk 42 minutes ago | parent | next [-]

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.

▲ thimabi 4 hours ago | parent | prev | next [-]

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.

	▲	cruffle_duffle 43 minutes ago \| parent [-]
		It’s a hard problem because among so many other things…switching models mid session because “shit got real” (or shit is now just executional) costs cache.

▲ Shekelphile 3 hours ago | parent | prev [-]

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