English(EN) Six API terms that get mixed up: context window, max output, temperature vs top_p, reasoning tokens

OpenAI API 术语详解：上下文窗口、输出限制和 token

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 19:19

一篇 Reddit 帖子澄清了关于 OpenAI API 术语的常见混淆，包括上下文窗口和最大输出 token 之间的区别。它解释说，上下文窗口同时包含输入和输出，而最大输出仅限制生成的响应。该帖子还将 token 与单词区分开来，详细说明了 temperature 和 top_p 如何控制输出的随机性，并介绍了推理 token 的概念，该概念是模型内部使用的，但可能计入输出限制和计费。 AI

影响为使用 AI 模型的开发者澄清了关键参数，有助于高效且经济高效地集成。

排序理由该条目是用户生成的 API 术语解释，而非主要公告或研究。

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 →

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Newsworthiness bucket: Commentary; 该条目是用户生成的 API 术语解释，而非主要公告或研究。
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Topics: product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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r/OpenAI TIER_2 English(EN) · /u/ClickOk5811 · 2026-10-23 19:19

Six API terms that get mixed up: context window, max output, temperature vs top_p, reasoning tokens

<div class="md">Short glossary of things I see confused in API questions. Details change between models, so check the current docs for yours. Context window vs max output tokens The context window is the total the model can handle i…

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Six API terms that get mixed up: context window, max output, temperature vs top_p, reasoning tokens

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