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English(EN) Is anyone else seeing an enormous usage difference between XHigh, Max, and Ultra?

OpenAI 用户报告模型层级之间使用量差异巨大

Reddit 上的用户报告称,在使用 OpenAI 的不同模型层级(特别是 XHighMax 和 Ultra)时,使用量消耗率存在显著差异。参与者观察到,即使执行相似的任务,Max 和 Ultra 模型似乎比 XHigh 更快地消耗每周使用量额度。这引发了关于使用情况仪表板、token 和子代理计数可能不准确,或 OpenAI 计费系统存在根本性问题的猜测。 AI

影响 用户可能对不同 AI 模型层级的定价和资源消耗感到困惑。

排序理由 Reddit 上用户生成的关于观察到的产品行为的讨论,并非官方公告或基准测试。

在 r/OpenAI 阅读 →

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

OpenAI 用户报告模型层级之间使用量差异巨大

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Reddit 上用户生成的关于观察到的产品行为的讨论,并非官方公告或基准测试。
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, 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
55 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/OpenAI TIER_2 English(EN) · /u/Professional_Ad705 ·

    大家是否看到了 XHigh、Max 和 Ultra 之间巨大的使用量差异?

    <!-- SC_OFF --><div class="md"><p><strong>Is anyone else seeing an enormous usage difference between XHigh, Max, and Ultra?</strong></p> <p>I understand that Max and especially Ultra should consume more of the weekly usage allowance than High or XHigh. Ultra can use subagents, so…