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I keep re-learning this lesson: I chug along with a lesser model then throw a problem at it that's too complex. Then I try different models until I give up and bring in Opus 4.6 to clean up.

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It's not even that much cheaper, GPT 5.5 is about 2x more expensive per task than Deepseek v4 Pro when you adjust for less token usage, according to Artificial Analysis. Doesn't seem worth it to me.

Are we talking pay as you go API or vs plans?

Pay as you go API rates.

And I keep using Opus to like, make git commits. Really just need a smart router that is actually smart, vs having to micromanage model

the problem is managing the contexts. your session might fit in Opus, but will that smaller model you dispatch the git commit to fit? even so, will it eat too much on prefill? do you keep compactions around for this, or RAG before dispatch or something? how do you button back up the response?

all doable but all vaguely squishy and nuanced problems operationally. kinda like harness design in general.

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