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I am one of Mendral co-founder (my co-founder wrote the article), I am the one to blame for changing the title when posting. I thought our original one was too clickbait and I wanted to better summarize with this title.

Despite the original title, a lot of what we learned comes to how Opus evolved and the ability to reason. And also the fact that Haiku is quite capable if scoped properly, that's the whole purpose of the article.

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> Despite the original title, a lot of what we learned comes to how Opus evolved and the ability to reason. And also the fact that Haiku is quite capable if scoped properly, that's the whole purpose of the article.

I think you're misrepresenting the whole thing. The blog post boils down to introducing a specialized triage step which is then offloaded to a cheap model. The cost savings come from skipping the expensive model. It has absolutely nothing to do with what choice of expensive model is being used. You could write the same blog post by completely ignoring and omitting the expensive model.

Does thinking about how to offload matter?

A discussion on how to avoid paying the price of running an expensive model is not about the expensive model. You can triage things running a cheap model with Ollama. Heck, throw in gpt4.1 which is free.

I don’t think triaging is necessarily an easy task

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