English(EN) I Saw 34 Million Tokens of Chat. Claude Counted 32 Billion.

Claude AI 的 token 计数差异引发用户担忧

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 11:58

一位 AI 用户观察到 Claude 处理了 3400 万个 token 的聊天数据，而模型报告称计算了 320 亿个 token。这种差异凸显了 AI 模型如何跟踪和报告其 token 使用量可能存在的问题。用户的经历表明，实际输入与模型内部的计数之间存在显著差异，这可能会影响性能或成本估算。 AI

影响凸显了 AI 模型 token 跟踪中可能存在的差异，影响用户对性能和成本的理解。

排序理由用户对 AI 模型行为的观察和评论。

在 Medium — Claude tag 阅读 →

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Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户对 AI 模型行为的观察和评论。
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: other; 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]

Medium — Claude tag TIER_1 English(EN) · Manpreet Singh · 2026-10-23 11:58

I Saw 34 Million Tokens of Chat. Claude Counted 32 Billion.

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/everyday-ai/i-saw-34-million-tokens-of-chat-claude-counted-32-billion-b85d395d4868?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1200/1*5n1F9WKWCCVHc2139wAe-Q.png" wid…

本文如何被排名

报道来源 [1]

I Saw 34 Million Tokens of Chat. Claude Counted 32 Billion.

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