Figureure 2 · OckScore: the curated models own the low-cost, low-error cornerFigure 2. OckScore: the curated models own the low-cost, low-error corner. Tokens per correct answer (x, broken to keep the cluster legible) against error rate (y); both axes run so that lower is better, placing the best models at the bottom-left. The curated checkpoints cluster there at 47–64 tokens per correct, while the verbose comparators fan up and to the right, with Qwen3.5-4B alone at 1,820, a 30–40 token gap at comparable error.这张图来自论文 PDF 的结构化抽取。当前用于辅助理解 Brevity is the Soul of 的方法或实验，请结合正文精读段落一起看。Figureure 1 · The paper in one figure: brevity is the soul of inference eficiency, aFigure 1. The paper in one figure: brevity is the soul of inference eficiency, and data curation is how you enact it. On a frontier pool of open-weight 2B–4B vision-language models, our curated models (Datology, blue) answer in far fewer tokens than verbose comparators and cost far less per correct answer, with no loss of quality. Left: mean output length per response (the x-axis is broken to keep the cluster legible); the curated models emit 30 tokens per response where Qwen3.5-4B emits 1,284, a 40 gap. Right: error rate (1 accuracy) against FLOPs per correct answer; the curated models hold the low-error, low-cost corner of the frontier and reach a 35 Cost-of-Pass advantage over Qwen3.5- 4B within 1 pp of accuracy.这张图/表用于判断 Brevity is the Soul of 的实验收益来自哪里。重点看替换、消融或跨模型设置下趋势是否一致，而不是只看单个最高分。
