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English(EN) Does anyone separate OpenAI Batch spend from normal API spend internally?

OpenAI用户讨论将Batch API支出与一般预算分开

一位Reddit用户正在寻求关于将OpenAI的Batch API支出与其一般API支出分开的建议。他们指出,Batch使用(通常用于处理数据集或运行评估等任务)与标准API使用(通常与产品活动相关)的行为不同。当两者合并到一个预算中时,这种区别使得难以理解成本的增加,因此用户考虑单独跟踪Batch支出。 AI

影响 随着批量处理的普及,API使用成本管理策略可能会发生变化。

排序理由 用户讨论特定API产品的成本管理。

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OpenAI用户讨论将Batch API支出与一般预算分开

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
用户讨论特定API产品的成本管理。
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
infra, product
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
1 days old
Coverage has settled into its steady-state 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/No_Refrigerator_8216 ·

    内部是否有人将OpenAI的Batch支出与正常API支出分开核算?

    <!-- SC_OFF --><div class="md"><p>We’ve started using Batch more for work that doesn’t need to happen immediately and I am sure that I’ve been treating that usage the same as the rest of our OpenAI spend even though it behaves pretty differently. Our normal API usage mostly follo…