99.82%
The share of transactions that land in the first opportunity window instead of slipping into later slots.
Benchmark Report
How PRION measures Solana execution speed.
This report explains the benchmark claims used across the PRION site: how 5,000 parallel mainnet-beta snipes are orchestrated, why 0-slot landing matters, and how latency percentiles are used to evaluate execution quality for serious Solana traders.
Snapshot
Core benchmark outputs.
These figures summarize the same measurements referenced on the homepage so crawlers and human readers can inspect the context in one place.
42ms
The headline comparison number used on the landing page versus Trojan Bot, Banana Gun, and Bloom.
4.1ms
Median latency shows normal-case performance when the network is behaving as expected.
12.8ms
P99 captures the tail events that matter when Solana launches get crowded and speed variance widens.
Methodology
What the benchmark actually measures.
PRION focuses on execution infrastructure. The benchmark is built to compare landing speed, slot quality, and pricing behavior without hiding variance behind one average number.
Controlled request generation
We dispatch identical transaction intents across comparison cohorts so the benchmark isolates infrastructure performance rather than strategy differences.
Global observation points
Measurements are collected across 12 worldwide geolocations to reduce single-region bias and surface consistency across real network paths.
Execution outcome tracking
Each run records transaction landing time, slot outcome, and percentile latency so we can separate clean wins from noisy outliers.
Fee impact modeling
Wallet analysis compares observed trading activity against PRION's capped plans to estimate how much fee leakage a trader could remove.
Comparison Scope
Why the report emphasizes tails, not slogans.
PRION reports 42ms average execution latency against 158ms for Trojan Bot, 212ms for Banana Gun, and 245ms for Bloom in the comparison snapshot shown on the landing page. Those values are paired with percentile reporting because contested Solana launches are decided by the tail, not by a marketing average that ignores variance.
The wallet analysis tool extends that same methodology into pricing by modeling a standard 1% fee curve against capped PRION plans. The goal is to show both speed advantage and cost retention in terms a trader can evaluate directly against PnL.
FAQ
Questions traders usually ask about the benchmark.
How does PRION benchmark Solana execution speed?
PRION runs controlled mainnet-beta sessions with 5,000 parallel snipes, synchronized request dispatch, and cross-region observation to compare landing speed under the same market conditions.
What does 0-slot landing rate mean?
0-slot landing rate measures how often a transaction lands in the first available slot instead of drifting into later slots where fill quality and outcome quality usually degrade.
Why do latency percentiles matter more than average latency?
Average latency hides the worst tails. PRION reports P50 and P99 so traders can judge both normal execution speed and the tail-risk that matters during contested launches.
How does the PRION fee comparison work?
The fee model compares a standard 1% retail-bot fee curve with PRION's capped pricing, then projects savings from recent wallet activity to show when monthly caps begin to protect PnL.
Want the benchmark translated into your flow?
PRION can review your current execution path, benchmark assumptions, and likely fee leakage against the infrastructure you use today.