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English(EN) I tracked 400+ LLM API prices every day for a month. Here's what actually changed.

开发者追踪400多个大语言模型API价格,揭示了预算层级的波动性

一位开发者在一个月内每天追踪了400多个大语言模型API的价格,揭示了预算层级模型价格的显著波动性。分析显示,降价次数多于涨价次数,DeepSeek和Qwen等供应商在重新定价方面最为活跃。GPT-5和Claude Opus等前沿模型的价格相对稳定,而预算模型则经历了激进的降价和偶尔的静默涨价,这凸显了持续的模型路由审查的必要性。 AI

影响 强调了预算层级大语言模型的动态定价,开发者需要定期审查成本。

排序理由 开发者对大语言模型API价格变动的分析。

在 dev.to — LLM tag 阅读 →

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开发者追踪400多个大语言模型API价格,揭示了预算层级的波动性

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开发者对大语言模型API价格变动的分析。
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  1. dev.to — LLM tag TIER_1 English(EN) · zoe wu ·

    我连续一个月每天追踪了400多个LLM API的价格。结果显示,实际发生的变化是这样的。

    <p>LLM pricing pages on the web are almost always stale. Providers reprice, deprecate, and launch models weekly, and most comparison posts are frozen the day they're published.</p> <p>I got tired of it, so I built a tracker: every day at 03:17 UTC, a GitHub Action pulls the full …