We Benchmarked TTFT Across OpenAI, Anthropic, and Groq Over 10,000 Requests — Here Is the Data

Описание и применение

<p>When running LLMs in production, two numbers dictate user experience and architecture reliability:</p> <ol> <li> <strong>Time-To-First-Token (TTFT)</strong>: How long users stare at a blank loader.</li> <li> <strong>Failover Recovery Latency</strong>: What happens when an upstream provider rate limits (HTTP 429) or experiences an edge outage.</li> </ol> <p>Over the past week, we sent <strong>10,000 automated evaluation requests</strong> across North America, Europe, and Asia-Pacific edge nodes to measure the true network and inference performance of direct provider endpoints versus intellig

Задача

<p>When running LLMs in production, two numbers dictate user experience and architecture reliability:</p> <ol> <li> <strong>Time-To-First-Token (TTFT)</strong>: How long users stare at a blank loader.</li> <li> <strong>Failover Recovery Latency</strong>: What happens when an upstream provider rate limits (HTTP 429) or experiences an edge outage.</li> </ol> <p>Over the past week, we sent <strong>10,000 automated evaluation requests</strong> across North America, Europe, and Asia-Pacific edge nodes to measure the true network and inference performance of direct provider endpoints versus intellig

Результат

<p>When running LLMs in production, two numbers dictate user experience and architecture reliability:</p> <ol> <li> <strong>Time-To-First-Token (TTFT)</strong>: How long users stare at a blank loader.</li> <li> <strong>Failover Recovery Latency</strong>: What happens when an upstream provider rate limits (HTTP 429) or experiences an edge outage.</li> </ol> <p>Over the past week, we sent <strong>10,000 automated evaluation requests</strong> across North America, Europe, and Asia-Pacific edge nodes to measure the true network and inference performance of direct provider endpoints versus intellig

Доказательства

We Benchmarked TTFT Across OpenAI, Anthropic, and Groq Over 10,000 Requests — Here Is the Data

Источник