Live latency across chains, regions, and providers. Same payloads, same schedule, cold connections. We publish exactly how we measure it.
Applies to every chart on this page
Ethereum, 24-hour, Global, P95. Bars scale with latency, so a shorter bar is faster. Open any provider to see how its number holds up region by region.
Identical payloads, cold connections
The dots run on live data: each provider's stream is driven by its current measured P50 and P95 for the chain, region, and window you picked above. QuickLee measures percentiles rather than recording every individual request, so the dots are simulated draws that reproduce those live numbers: fast on the left, slow on the right. A provider with a tight tail stays bunched left; one with a heavy tail sprays out toward the right.
Each provider's median, average, and P95 on one scale. The bar is the distance between the typical request and the slow tail: a short bar is a provider that behaves predictably, a long one is a provider that is occasionally much worse than its headline number.
Quicknode P95 per region, and the gap to the fastest competitor in that same region. Pick a card to focus the breakdown below.
Global averages the five regions, so it has no single breakdown — this section always shows one region at a time, currently US East. Pick a region below to change it.
The filter above is on Global, which averages all five regions and so has no single breakdown. These numbers are US East only — pick a region above to change them.
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Lines are smoothed with a rolling median so a single spike doesn't bury the trend. Drag across the chart for the raw QuickLee value at that tick; hover a provider in the legend to isolate its line, or tap to hide it.
Most benchmarks run from one place on warm connections and quietly drop the failures. We run from 15 synthetic hosts across 3 clouds and 5 regions, on fresh connections, and record every attempt.
We open fresh connections instead of reusing warm ones, so the numbers reflect what a real request pays, not a best-case keep-alive.
Failures, timeouts, and rate-limits are recorded, never hidden behind a retry. Latency reflects successful responses only.
Every provider gets the same payload, chain, region, and schedule. No special routes, no cherry-picked endpoints.
We also track block-height lag and data freshness, so speed never comes at the cost of stale reads.
Every provider is measured from the same 15 synthetic hosts: three clouds and five regions, sending identical payloads on an identical schedule.
AWS, Google Cloud, and Oracle Cloud runners in N. Virginia, California, Frankfurt, Tokyo, and Singapore.
Every probe opens a fresh connection and sends the same request on the same schedule. No warm reuse, no special routes.
Failures, timeouts, and rate-limits are recorded, never hidden behind a retry. Latency reflects successful responses only.
| Cloud | US EastN. Virginia | US WestCalifornia | EU CentralFrankfurt | AP NortheastTokyo | AP SoutheastSingapore |
|---|---|---|---|---|---|
| AWS | |||||
| Google Cloud | |||||
| Oracle Cloud |
Questions about how we measure, what the numbers mean, and how to read the results.
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