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English(EN) TTFT is not TTFB: what 45 AI APIs measured from 4 regions actually show

AI API速度基准测试混淆：TTFB vs TTFT及模型影响分析

作者 PulseAugur 编辑部 · [2 个来源] ·

llmlatency.dev 的一项新分析强调了在AI API性能基准测试中，首次响应字节时间（TTFB）和首次响应令牌时间（TTFT）之间的关键区别。该研究持续测量全球四个地区的约45个推理提供商，揭示了TTFB（衡量网络和提供商前端速度的指标）经常与TTFT混淆，而TTFT包含了模型处理时间。数据显示，模型的大小和类型显著影响TTFT，常常掩盖了API提供商之间的差异，并且区域延迟可能相差高达18.9倍，使得地理位置成为感知速度的关键因素。 AI

影响 阐明了如何解读AI API延迟基准测试，强调模型和地理位置的影响超过提供商差异。

排序理由 对现有AI API性能指标及其解读的分析。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI API速度基准测试混淆：TTFB vs TTFT及模型影响分析

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对现有AI API性能指标及其解读的分析。
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报道来源 [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Max Bob ·

    TTFT不是TTFB：来自4个地区的45个AI API实际测量结果显示了什么

    <p>If you have ever compared "fastest AI API" benchmarks and found they disagree with each other, there is a good chance they were not measuring the same thing. Two numbers get used interchangeably, and they answer different questions:</p> <ul> <li> <strong>TTFB — time to first b…

  2. dev.to — LLM tag TIER_1 English(EN) · Max Bob ·

    TTFT不是TTFB：来自4个区域的45个AI API实际测量结果显示了什么

    <p>If you have ever compared "fastest AI API" benchmarks and found they disagree with each other, there is a good chance they were not measuring the same thing. Two numbers get used interchangeably, and they answer different questions:</p> <ul> <li> <strong>TTFB — time to first b…

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