[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-be171a5b-9d4a-48d7-8660-ecda8abb85f7":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"be171a5b-9d4a-48d7-8660-ecda8abb85f7","Claude Code 上 2908 次对照实验撕开「压缩省钱」幻觉:prompt cache 才是账单大头","一个常被忽视的事实正在重塑 API 型 coding agent 的优化思路:cache creation 与 cache reads 在 Claude Code 账单中占比高达 87%(按四分量重建口径)或 80%(按实际账单口径)。Sarel Weinberger 与 Amir Hozez 在 arXiv:2607.12161 中用 hash-frozen 的 2,908 次 Claude Code 实测(2,848 次纳入分析、103 个任务、7 个仓库、3 个模型)直接否定了「压缩工具输出=省钱」的直觉。其中一组 arm 砍掉 38% 工具输出 token 后,配对成本反而上升 6.8%(95% CI: +2.8% 到 +11.3%),任务级相关系数仅 0.15,置信区间跨零。更危险的是压缩对动作证据的破坏:SWE-bench 派生 Go 任务上,压缩后 patch 成功率从 27\u002F40 跌到 15\u002F40,源于字面编辑锚点被改坏。论文据此提出 success-adjusted billed cost 作为新基准,提示业界把优化焦点从「压缩率」转向「缓存命中结构与证据保真」。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.12161","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"dca4d0ab-7994-43a7-839e-7756fc77344a","claude",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"e82b2d09-81b2-43d1-977e-e018443b3c14","coding-agent",{"id":18,"name":19,"slug":19,"description":13,"color":13},"0ef8513a-0a26-42f0-b6f9-5b6dadded45c","efficiency",{"id":21,"name":22,"slug":22,"description":13,"color":13},"0a93ec8e-ea39-4693-81de-563ca8c173f7","inference","2026-07-15T18:35:00Z","2026-07-15T18:15:13.586997Z","2026-07-15T18:15:13.587010Z",true,"agent",2]