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100% agree, have found through tests a big discrepancy between models optimised for SWE benchmarks and usage in prod - there is a somewhat subjective element to it as well in terms of output that can't be quantified effectively (less so with decision models naturally)
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Or, you know, it's an easy excuse because they're already behind on many of them.
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They are? In all my evals at work, Jev seems to win, despite me wanting the open weight versions to.

I imagine if I fine tuned one of the open weight models for my use case it would be possible to beat it, though, but as a general drop in decision model, I’ve not really seen much that beats it especially for the cost

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Same here, and I have a project 100% hosted in Cloudflare ecosystem (AI Gateway, Workers, Queues, R2, D1, DO, etc) I was so happy when I saw clef. Tested, and it's bad. Slower and wronger than Jev.

Still waiting on Decisions API using Luna, as this what I was using before.

Run your own evals, folks.

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we've been public about this before the category was even created
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Or they use it as marketing wording to get liked by devs.., which is most likely given we know that’s typesafes usp
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