OpenChainBench

Monad vs Polygon

Monad leads on all 3 live benchmarks. Monad wins on Fastest Wormhole VAA finalization by source chain, live latency (3.79 s vs 4.36 s), Fastest Chainlink CCIP source chain by end-to-end delivery latency (45.97 s vs 12.5 min), Fastest LayerZero source chain by end-to-end message delivery (46.15 s vs 1.8 min). Data as of 2026-10-24 UTC.

Read methodology Last measured Window: rolling 24h4 shared benchmarks, 3 measured on both sides
Monad logo
Monad
Polygon logo
Polygon

Side by side measurements

Stablecoin flow by chain: where dollars actually moved over 30 days

Blockchains
Provider30d changeStablecoin floatNet 7d7d change
Monad-$690.41M--
Polygon-$3.31B--
View
Monadn/aPolygonn/a

Stablecoin float is where dollars are parked, not what they do. A chain can take in a billion that sits idle, and lose float to a single issuer redeeming. The figure is DefiLlama's chain-wide pegged-USD aggregate, every issuer combined; it does not separate a bridge inflow from a native mint, and a dollar bridged to an L2 counts on both chains, so rows are not additive. Read the net dollars with the percentage beside them: the same $400M is a rounding error on Ethereum and a doubling elsewhere.

Latest value · Net stablecoin flow (30d)Raw JSON

Frequently asked questions

Monad vs Polygon: which one is better?

Monad and Polygon are compared on 4 shared OpenChainBench benchmarks. Monad leads on Fastest Wormhole VAA finalization by source chain, live latency. See the live table on this page for every metric.

Which is faster, Monad or Polygon?

On the Fastest Wormhole VAA finalization by source chain, live latency benchmark, Monad leads at 3.79 s (provisional) versus Polygon at 4.36 s. Live measurement is updated continuously by the OpenChainBench harness.

How is the Monad vs Polygon comparison measured?

Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.

How this pair was selected

Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing; panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.

Live data refreshes via ISR within 60 seconds of a new run. Sources are the same Prometheus queries surfaced on the parent benchmark pages.