Average latency by method
How fast each provider handles a specific request type across all regions. Pick a method to compare.
- Alchemy
- dRPC
- QuickNode
- Infura
See how different providers compare on latency, reliability and failed requests, all tested under identical conditions.
Global Average Response Time
LiveLast updated: Jun 26, 2026, 16:51 UTC
Average response time across all methods in the current global benchmark window.
Average Latency
0.00ms
Alchemy
P50 Latency
0.00ms
Alchemy
P95 Latency
0.00ms
Alchemy
Success Rate
0%
Alchemy
| Provider | Avg latency | P50 latency | P95 latency | Success rate |
|---|---|---|---|---|
| AlchemyFastest | 15.87 ms | 5.95 ms | 30.61 ms | 100% |
| QuickNode | 45.19 ms | 15.42 ms | 180.14 ms | 100% |
| Infura | 113.97 ms | 93.34 ms | 276.08 ms | 100% |
| dRPC | 130.20 ms | 25.06 ms | 661.06 ms | 99.46% |
How fast each provider handles a specific request type across all regions. Pick a method to compare.
Which request types each provider struggles with across all regions. Pick a method to see where errors pile up.
Methodology
Every provider is measured under identical conditions, so the numbers stay comparable and hard to game.
Common EVM RPC methods run against each provider on the same fixed cadence, around the clock.
Latency and success rate are measured from US East, US West, EU Central, and AP Southeast.
Every provider is tested on the same standard paid RPC service tier, with no special treatment.
Every provider is hit with the same mix of common EVM calls, from simple reads to heavy getLogs queries.
Non-200 HTTP responses, non-zero RPC statuses, and requests over 8 seconds all count as failures.
Raw benchmark data is published as machine-readable tables, so anyone can audit and reproduce the numbers.
The companion Markdown page returns this data as text tables with field definitions and source metadata, built for agents, crawlers, and anyone who wants the data without the interface.

Slow RPC makes everything slower. Slower reads, slower UIs, slower confirmations, until users give up. Build on the infrastructure that leads these benchmarks.