Fastest L1 blockchain finality, live wall-clock measurement per chain
BlockchainsAvalanche
Trails5.8 s
- p99
- 9.0 s
- rank
- #5
- samples
- 87,999
Solana
Leads0.41 s
- p99
- 0.75 s
- rank
- #2
- samples
- 405,393
Avalanche leads on 3 of 7 shared benchmarks, Solana on 4. Avalanche wins on Chainlink vs Pyth vs Binance vs Coinbase, live oracle deviation (0.12% vs 0.13%), Highest staking yield, live validator net APR across 7 PoS chains (6.80% vs 4.74%), Fastest Chainlink CCIP source chain by end-to-end delivery latency (18.18 s vs 1.6 min). Solana wins on Fastest L1 blockchain finality, live wall-clock measurement per chain (0.41 s vs 5.8 s), Cheapest blockchain transaction fee, live across L1 and L2 chains ($0.000507 vs $0.000625), Fastest Wormhole VAA finalization by source chain, live latency (3.46 s vs 3.71 s), Fastest LayerZero source chain by end-to-end message delivery (19.63 s vs 35.77 s). Data as of 2026-10-25 UTC.
Primary Network runs the Snowman BFT consensus derived from Snow protocols. Sub-second deterministic finality with no chain reorganizations.
Proof-of-History sequencing combined with Tower BFT consensus. Probabilistic finality at 32 confirmed slots. Slot time around 400 milliseconds.
Avalanche
Trails5.8 s
Solana
Leads0.41 s
Avalanche
Leads0.12 %
Solana
Trails0.13 %
Three caveats. (1) Lower is better, but a non-zero floor (~5-20 bps) is normal, ticker last-traded prices have micro-jitter and Chainlink updates only on deviation/heartbeat. (2) XRP, ADA, DOGE measured on 3 sources because Chainlink deprecated those USD feeds on Ethereum mainnet, tag flags it. (3) POL/USD is the post-migration symbol for MATIC; we point at POLUSDT (not the frozen legacy MATICUSDT).
Avalanche
Leads6.80 %
Solana
Trails4.74 %
Honest scope. (1) `net_yield = gross_apr × uptime`. NOT "yield net of MEV", Stakewiz `total_apy` already folds Jito MEV into gross, MEV is INCLUDED. `mev_share_bps` exists for transparency, not subtraction. (2) Solana median is dragged by ~42 vals at 0% APY (commission 100% or zero leader slots). (3) Hyperliquid: centralised sequencer, no separate MEV layer, ~30 vals only. (4) Ethereum: one network-average consensus-layer APR from the beacon spec formula, execution tips and MEV excluded.
Avalanche
Trails$0.000625
Solana
Leads$0.000507
Avalanche
Trails3.71 s
Solana
Leads3.46 s
Avalanche
Leads18.18 s
Solana
Trails1.6 min
Avalanche
Trails35.77 s
Solana
Leads19.63 s
| Provider | 30d change | Stablecoin float | Net 7d | 7d change |
|---|---|---|---|---|
| Avalanche | - | $1.42B | $1.75M | 0.12% |
| Solana | - | $15.84B | - | - |
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.
Avalanche and Solana are compared on 8 shared OpenChainBench benchmarks. Avalanche leads on Chainlink vs Pyth vs Binance vs Coinbase, live oracle deviation. Solana leads on Fastest L1 blockchain finality, live wall-clock measurement per chain. See the live table on this page for every metric.
On the Chainlink vs Pyth vs Binance vs Coinbase, live oracle deviation benchmark, Avalanche leads at 0.12% versus Solana at 0.13%. Live measurement is updated continuously by the OpenChainBench harness.
On the Fastest L1 blockchain finality, live wall-clock measurement per chain benchmark, Solana leads at 0.41 s versus Avalanche at 5.8 s. Live measurement is updated continuously by the OpenChainBench harness.
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.