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I do not believe this story, because of the message I just posted above.

That's not really productive lol, I'm glad it worked for you but these models are non-deterministic and 'YMMV' very much applies everywhere. I had it parse receipts (in fairness, in variable lightning), all taken from iPhone cameras in the past year. And yeah, not a great job, about 20% failed to get the date correct. (Not outrageously wrong, e.g 05/20/2026 becomes 05/23/2026.

YMMV, glad it worked for you.

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Are you sure you weren't using Sonnet or a low-effort reasoning mode?
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Yes, lol
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I believe it. Makes me curious what your prompt was that got such a good result out of Opus.
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