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Marinade Staked SOL vs Pyth Network Staking

Side-by-side comparison of MSOL and PYTH staking yields, risk, and key metrics. Updated every 4 hours.

Marinade Staked SOL
Marinade Staked SOL
MSOL
7.16%
APY
Pyth Network
Pyth Network
PYTH
8.00%
APY

Detailed comparison

Metric
Marinade Staked SOL (MSOL)
Pyth Network (PYTH)
Staking APY
7.16%
8.00%Winner
Price
$114.40
$0.05
Market Cap
$270.07MWinner
$266.49M
Total Staked
$255.58MWinner
$75.09M
Staking Ratio
100.0%
30.0%
Risk Level
medium
medium
Staking Type
liquid
native
Blockchain
Marinade Staked SOL
Solana
Min Stake
None
0.01 PYTH

Marinade Staked SOL vs Pyth Network: which should you stake?

Pyth Network currently offers the higher APY at 8.00% compared to Marinade Staked SOL's 7.16%. That's a 0.84 percentage point difference in annual yield.

In terms of market cap, Marinade Staked SOL is the larger asset at $270.07M, which generally indicates more liquidity and lower volatility risk.

Both assets can be staked through various platforms and protocols. Consider diversifying across both rather than choosing one exclusively — this spreads your risk across different networks and ecosystems.

Marinade Staked SOL vs Pyth Network — common questions

Is Marinade Staked SOL or Pyth Network better for staking?

Pyth Network currently offers a higher staking APY at 8.00% compared to Marinade Staked SOL's 7.16%. However, the best choice depends on your risk tolerance, investment horizon, and portfolio strategy.

What is the APY difference between Marinade Staked SOL and Pyth Network?

Marinade Staked SOL offers 7.16% APY while Pyth Network offers 8.00% APY — a difference of 0.84 percentage points.

Which is safer to stake: MSOL or PYTH?

Marinade Staked SOL has a medium risk rating while Pyth Network has a medium risk rating. Lower risk typically means a more established network with stronger validator infrastructure.

Can I stake both MSOL and PYTH?

Yes, diversifying across multiple staking assets is a common strategy. Staking both Marinade Staked SOL and Pyth Network spreads your risk across different networks and protocols.

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