A Latency Benchmarking Approach for Search APIs
How to measure and compare real-world response times across providers.
What it means
A provider's published latency numbers are usually best-case, measured under ideal conditions from their own infrastructure — a real benchmark needs to measure round-trip time from your actual deployment region, under realistic query patterns, across enough requests to see the tail (p95, p99) rather than just an average that a few fast responses can flatter.
In practice
Running the same 50 representative queries against two candidate providers, from the same server, at the same time of day, and recording p50/p95/p99 latency for each gives a far more honest picture than trusting a marketing page's 'sub-200ms' claim — it's common to find a provider's p50 matches their marketing number while their p95 is three or four times higher.
Tradeoffs
Benchmarking takes real engineering time and query budget to do properly, so it's worth reserving for genuinely latency-sensitive use cases (a live chat agent) rather than a background research tool where an extra few hundred milliseconds per call doesn't materially affect the product experience.