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?
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?