Aptos leads on all 4 live benchmarks. Aptos wins on Highest staking yield, live net APR by proof-of-stake chain (2.39% vs 1.21%), Cheapest blockchain transaction fee, live across L1 and L2 chains ($0.0000322 vs $0.000839), Cheapest blockchain to deploy a token, live USD cost per L1 chain ($0.0766 vs $0.3854), Stablecoin flow by chain ($66.81M vs $28.85M). Data as of 2026-11-14 UTC.
Read methodology Last measured Window: rolling 24h4 shared benchmarks
Move-based L1 using Mysticeti BFT consensus over a DAG. Owned-object transactions bypass consensus via Fast Path. Deterministic finality under one second.
Nominal yield in the staked token, not real yield: a 19% APR on a token that inflates 12% a year is worth less than it looks, and price moves dominate both. MEV is included on Solana only and excluded on Ethereum. ICP is one neuron profile (2 year dissolve delay), Algorand one opt-in solo node, Ethereum one network average. Stellar and Somnia are not ranked, see the methodology.
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.
Frequently asked questions
Aptos vs Sui: which one is better?
Aptos and Sui are compared on 4 shared OpenChainBench benchmarks. Aptos leads on Highest staking yield, live net APR by proof-of-stake chain. See the live table on this page for every metric.
Which has the higher net yield, Aptos or Sui?
On the Highest staking yield, live net APR by proof-of-stake chain benchmark, Aptos leads at 2.39% (provisional) versus Sui at 1.21%. Live measurement is updated continuously by the OpenChainBench harness.
How is the Aptos vs Sui 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.
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.