Tokenized stock price accuracy, live onchain vs Nasdaq across 11 equities
RWANVDA
Trails0.11 %
- p99
- 0.38%
- rank
- #1
- samples
- 2,621
TSLA
No data in window
NVDA vs TSLA
TSLA leads on the only live benchmark. TSLA wins on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana (0.076% vs 0.13%).
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.
TSLA
Tesla 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
xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana
RWANVDA
Trails0.13 %
- p99
- 0.18%
- rank
- #2
- samples
- 2,621
TSLA
Leads0.076 %
- p99
- 0.12%
- rank
- #1
- samples
- 2,621
Tokenized stock weekend drift, how far each equity wanders Friday to Monday
RWANVDA
Trails1.12 %
- p99
- 1.12%
- rank
- #4
- samples
- 1,383
TSLA
No data in window
Frequently asked questions
NVDA vs TSLA: which one is better?
NVDA and TSLA are compared on 3 shared OpenChainBench benchmarks. TSLA leads on xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana. See the live table on this page for every metric.
Which is cheaper, NVDA or TSLA?
On the xStocks price accuracy, live onchain vs Nasdaq across 12 equities on Solana benchmark, TSLA leads at 0.076% versus NVDA at 0.13%. Live measurement is updated continuously by the OpenChainBench harness.
How is the NVDA vs TSLA 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.