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It seems even worse than that: when you're calling the model, you have this strange two-dimensional thing with reasoning effort (specified in a small handful of
by qhwudbebd 2mo ago
It seems even worse than that: when you're calling the model, you have this strange two-dimensional thing with reasoning effort (specified in a small handful of random strings like "medium", "xhigh", "max") and "pro" vs "not pro" which is also somehow increasing reasoning budget, but with an interaction that is entirely opaque. How does "medium", "pro" compare with "max", "not-pro" for instance?
If you're going to force people to specify manually, at least make it 0.0 - 1.0 normalised such that 0.5 is the default.
- qhwudbebd 2mo agoOpenRouter map this into their API in a slightly different way, making -pro and normal different model slugs, so you have openai/gpt-5.6-luna-pro vs openai/gpt-5.6-luna vs openai/gpt-5.6-sol[-pro], etc. This makes reasoning effort one-dimensional again (albeit with the arbitrary sequence of strings), but now model choice in a given generation is two-dimensional. Either way, it's hard to make any kind of informed decision.