Would you recommend this cheaper replacement model for the supported user base?
Instruction: Evaluate the release evidence, make a recommendation, and explain any alternative deployment scope you would consider.
A fictional assistant’s current model scores 92% overall on a fixed evaluation set. A cheaper replacement scores 94% overall but falls from 90% to 78% on 50 supported non-English cases. The agreed release gates require at least 90% overall and no supported-language slice below 85%. The cheaper model also reduces observed model cost by 30%. The evaluation data and scoring rubric are unchanged.
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I would block the replacement for the current supported scope because its non-English result fails the agreed 85% gate. The improved overall score and lower cost do not cancel that failure. I would show the sponsor the result in concrete terms: the old model passed 45 of the 50 non-English cases, while the replacement passed 39...
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