Chainlink is the larger and more widely used oracle, securing roughly ten times as much value, while Pyth is the faster one, built for trading protocols that need a fresh price at the exact moment of a trade or liquidation. The deciding difference is delivery: Chainlink pushes prices on-chain on a schedule, and Pyth lets applications pull a signed price on demand.
Neither is a straight replacement for the other, and many protocols use both. The comparison below shows why each wins in its own segment.
The Short Verdict
Pyth tends to fit best when:
- The application is a perpetual exchange, options venue or other high-frequency trading product
- Sub-second price freshness matters more than an always-present on-chain value
- The protocol needs non-crypto assets such as equities, FX or commodities in the same feed format
Chainlink tends to fit best when:
- The application is a lending market or stablecoin that must read a price at any time without triggering an update
- The team wants the oracle with the longest security track record and the largest share of secured value
- Cross-chain messaging, proof of reserves or other services beyond price data are part of the plan
Push Versus Pull Delivery
Chainlink built its reputation on push feeds. A decentralized network of node operators agrees on a price and writes it on-chain whenever the price moves beyond a deviation threshold or a heartbeat interval passes. The price is always sitting in a contract, ready to read. The cost is that someone pays gas for every update on every chain, so update frequency is limited to what that budget allows.
Pyth flipped the model. Prices update several times per second on Pythnet, Pyth's own aggregation chain, and are signed and relayed through Wormhole, but they are written to a target chain only when an application pulls them into a transaction. The user or protocol that needs the price pays a small fee for that single update. This is how Pyth offers thousands of feeds on around 100 chains without paying for unused updates.
The line has blurred. Chainlink now runs Data Streams, its own low-latency pull product for derivatives, documented in the Chainlink Data Streams docs. Pyth, for its part, offers scheduled push updates on some chains for protocols that want them. The core identities still hold, though: Chainlink leads in push, Pyth in pull.
Where the Data Comes From
The two networks also differ in who produces the numbers.
Chainlink's node operators are mostly infrastructure companies. They fetch prices from premium data aggregators and exchange APIs, then reach consensus. The data is second-hand, but the aggregation layer is broad and heavily battle-tested.
Pyth is first-party. More than 120 publishers, including trading firms, market makers and exchanges, sign the prices they are quoting and send them straight to Pythnet with a confidence interval attached. That removes a layer of intermediaries, and it is why Pyth can offer asset classes such as U.S. equities that are hard to source cleanly from public APIs. The trade-off is that data quality depends on a smaller, semi-permissioned publisher set, which Pyth backs with staked PYTH that can be slashed.
Side-by-Side Comparison
| Dimension | Pyth Network | Chainlink |
|---|---|---|
| Primary model | Pull, on-demand | Push, threshold and heartbeat |
| Data source | First-party publishers (120+) | Node operators using aggregators |
| Update speed | Sub-second on Pythnet; millisecond tier via Pyth Pro and Lazer | Minutes on push feeds; sub-second via Data Streams |
| Value secured (mid-2026) | About $3 billion | About $33 billion |
| Strongest segment | Perpetual DEXs and trading apps | Lending, stablecoins, cross-chain |
| Other products | Entropy randomness, Express Relay, Pyth Pro | CCIP messaging, proof of reserve, automation |
| Token | PYTH, 10 billion max supply | LINK, 1 billion max supply |
| Token role | Governance, integrity staking, buybacks | Node payments, staking for service security |
Value-secured figures are industry estimates and move with DeFi prices. Pyth has at times led Chainlink on monthly trading volume secured, as Cointelegraph reported, which reflects its grip on high-turnover derivatives markets. Chainlink secures far more idle collateral, which is why its total value secured is larger.
Who Uses Which
Chainlink dominates lending. Aave and most large money markets on Ethereum rely on Chainlink push feeds, and on several layer 2 networks Chainlink secures close to all oracle-dependent value. Its cross-chain CCIP protocol extends that footprint into token bridging and messaging.
Pyth dominates speed-sensitive trading on Solana and is strong on EVM derivatives venues. Solana perpetual platforms and several EVM derivatives protocols, including Synthetix perps markets, settle against Pyth prices. Both oracles were chosen by the U.S. Department of Commerce in August 2025 to publish GDP data on-chain, so institutional adoption is not a one-horse race.
PYTH Versus LINK as Investments
For traders, the oracle comparison becomes a token comparison. LINK has the larger market, a longer history and a staking program that pays node operators and stakers from service fees, covered in our Chainlink staking guide. PYTH is smaller and more volatile, with one supply cliff left and a buyback that ties its value to Pyth Pro revenue.
PYTH holders earn through Oracle Integrity Staking, where rewards and slashing risk are both tied to publishers, as explained in how to stake PYTH. Its remaining May 2027 unlock is covered in the PYTH tokenomics breakdown, and our PYTH price prediction sets out how that cliff and revenue growth could play against each other.
Frequently Asked Questions
Is Pyth better than Chainlink?
Pyth is better for low-latency trading applications, and Chainlink is better for lending markets and cross-chain services that need always-available prices. Chainlink secures far more value overall. Many protocols use both.
Is Pyth a Chainlink competitor?
Yes, Pyth competes directly with Chainlink for price-feed integrations, especially in derivatives, and increasingly for institutional market-data contracts. Each has expanded into the other's model, with Chainlink adding pull-based Data Streams and Pyth adding scheduled push updates.
Which is cheaper to use, Pyth or Chainlink?
For applications that need very frequent updates, Pyth is usually cheaper because the protocol pays only for the updates it actually pulls. Chainlink push feeds are free to read on-chain, but their update frequency is limited by who funds the gas. The cheaper option depends on how often the application needs a new price.
Two Oracles, Two Specialties
The oracle market has settled into a split: Chainlink as the default for collateral and cross-chain infrastructure, Pyth as the default for speed and non-crypto asset coverage. Chainlink has the larger lead today, while Pyth has the faster-growing niche and a more aggressive push into traditional market data.
To trade your view on the oracle race, buy PYTH on LeveX spot or open long or short positions with PYTH perpetual futures. For more short guides to the protocols behind DeFi, visit Crypto in a Minute.