AAPL vs NVDA

AAPL leads on 1 of 3 shared benchmarks, NVDA on 2. AAPL wins on Tokenized stock weekend drift, how far each equity wanders Friday to Monday (0.37% vs 1.12%). NVDA wins on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities (0.11% vs 0.71%), xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (0.13% vs 0.33%).

Read methodology Last measured Window: rolling 24h3 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.

NVDA logo
NVDA

Nvidia 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 NVDA: which one is better?

AAPL and NVDA are compared on 3 shared OpenChainBench benchmarks. AAPL leads on Tokenized stock weekend drift, how far each equity wanders Friday to Monday. NVDA leads on Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities. See the live table on this page for every metric.

Which is cheaper, AAPL or NVDA?

On the Tokenized stock weekend drift, how far each equity wanders Friday to Monday benchmark, AAPL leads at 0.37% versus NVDA at 1.12%. Live measurement is updated continuously by the OpenChainBench harness.

Which is cheaper, AAPL or NVDA?

On the Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities benchmark, NVDA leads at 0.11% versus AAPL at 0.71%. Live measurement is updated continuously by the OpenChainBench harness.

How is the AAPL vs NVDA 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.