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English(EN) I priced every call in my Claude Code logs. 12% of them cost 31%.

Claude Code 用户因大上下文窗口面临高昂成本

一位用户分析了他们的 Claude Code 使用日志,发现发送超过 400,000 个 token 的调用占总调用量的 12%,但占总费用的 31%,总计 565 美元。分析显示,上下文重新发送是主要的成本驱动因素,即使在较低的费率下,缓存读取也会累积可观的费用。用户还注意到多次达到 5 小时使用限制,在每次达到限制前的几个小时内,费用从 19 美元到 43 美元不等。 AI

影响 凸显了 LLM 中大上下文窗口的显著成本影响,可能影响用户行为和模型开发。

排序理由 用户对特定产品成本结构的分析。

在 dev.to — Claude Code tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Claude Code 用户因大上下文窗口面临高昂成本

本文如何被排名

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户对特定产品成本结构的分析。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Michael Williams ·

    I priced every call in my Claude Code logs. 12% of them cost 31%.

    <p>I've been leaning on Claude Code hard for a few weeks, with long sessions and lots of sub-agents. I wanted to know where the money actually goes, so I priced every call in my logs at list price. 954 of my 7,802 calls sent more than 400k tokens of context. Those 12% of calls co…