Are Mid-Tier LLMs Losing Value? Developer Argues Models Are Polarizing
mertdumenci · x · 2026-07-30
The author argues that users typically only want either the "smartest" or the "fastest" model, leaving mid-tier models somewhat unnecessary.
This happens because mid-tier models often degrade into weird artifacts when trained using larger models as teachers. Citing examples like Opus killing Sonnet and Fable killing Opus, the author implies that rapid iterations in model capabilities are squeezing out the middle ground.
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