OpenChainBench

AAPL vs META

AAPL leads on 3 of 4 shared benchmarks, META on 1. AAPL wins on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (4.65 bps vs 4.76 bps), Tokenized stock weekend drift, how far each equity wanders Friday to Monday (38.1 bps vs 104 bps), Tokenized RWA on Solana, what a $100k sale actually costs (126 bps vs 327 bps). META wins on Tokenized stock price accuracy, live onchain vs Nasdaq across 6 equities (16.8 bps vs 40.3 bps). Data as of 2026-10-24 UTC.

Read methodology Last measured Window: rolling 24h4 shared benchmarks
AAPL logo
AAPL

Apple tokenized equity measured across issuers on the RWA benchmarks: Robinhood's token on Robinhood Chain (Uniswap v4 vs USDG) and Backed's xStock on Solana (Jupiter executable mid vs USDC), each tracked live against the real market price.

META logo
META

Meta Platforms tokenized equity measured across issuers on the RWA benchmarks: Robinhood's token on Robinhood Chain (Uniswap v4 vs USDG) and Backed's xStock on Solana (Jupiter executable mid vs USDC), each tracked live against the real market price.

Side by side measurements

Frequently asked questions

AAPL vs META: which one is better?

AAPL and META are compared on 4 shared OpenChainBench benchmarks. AAPL leads on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana. META leads on Tokenized stock price accuracy, live onchain vs Nasdaq across 6 equities. See the live table on this page for every metric.

Which is cheaper on price deviation, AAPL or META?

On the xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana benchmark, AAPL leads at 4.65 bps versus META at 4.76 bps. Live measurement is updated continuously by the OpenChainBench harness.

How is the AAPL vs META 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.