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Thanks, that helps. The pattern around token cost has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.
small models can still be good
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My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there. Not glamorous advice, but repeatable baselines save a lot of time.
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Maybe, but I had the opposite result. I get why that seems right, but on GB200 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one.
team red, team patient