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Liquid RestakingUpdated Feb 13, 2026

weETH vs ezETH

Compare EtherFi weETH vs Renzo ezETH liquid restaking tokens. Analyze yields, multi-chain strategies, operator models, and ecosystem integration.

Feature Comparison

FeatureweETHezETH
TVL
$4B+Winner
$2B+
Yield Potential
6-10%+
6-12%+Winner
Multi-Chain Native
Limited
ExtensiveWinner
Decentralization
DVT focusWinner
Professional ops
Risk Profile
Conservative
AggressiveTie
DeFi Integration
Deep (mainnet)
Broad (multi-chain)Tie
Mainnet Liquidity
DeepestWinner
Strong
L2 Presence
Via bridges
NativeWinner
Points Program
EtherFi points
ezPointsTie
AVS Strategy
Conservative
Yield-optimizedTie

weETH vs ezETH: EtherFi vs Renzo Liquid Restaking 2026

EtherFi's weETH and Renzo's ezETH represent two leading approaches to liquid restaking. Both offer EigenLayer exposure but differ in their multi-chain strategies and operator philosophies. This comparison helps you choose the right LRT.

Protocol Philosophies

weETH/EtherFi focuses on Ethereum-native restaking with decentralized validator technology. The protocol emphasizes operator quality and conservative AVS selection. EtherFi's "Operation Solo Staker" initiative aims to maximize decentralization. ezETH/Renzo prioritizes multi-chain expansion and yield optimization. Renzo has aggressively expanded to L2s and alternative chains, offering native restaking across ecosystems. This broader focus enables chain-specific opportunities.

Yield Comparison

weETH Yields

  • Base Staking: ~3.5-4% APY
  • AVS Rewards: Variable (protocol-selected)
  • EtherFi Points: Loyalty rewards
  • Total Potential: 6-10%+

ezETH Yields

  • Base Staking: ~3.5-4% APY
  • AVS Rewards: Yield-optimized selection
  • ezPoints: Points program
  • Total Potential: 6-12%+

Renzo often shows higher headline yields through aggressive AVS strategies.

Multi-Chain Strategy

EtherFi's Approach

  • Primary focus on Ethereum mainnet
  • L2 expansion through bridges
  • Consistent experience across chains
  • Mainnet-first philosophy

Renzo's Approach

  • Native deployment on multiple L2s
  • Chain-specific integrations
  • Aggressive multi-chain expansion
  • Optimized for each ecosystem

Operator Models

EtherFi Operators

  • Distributed Validator Technology (DVT)
  • Solo staker initiative
  • Emphasis on decentralization
  • Quality over quantity

Renzo Operators

  • Professional operator set
  • Performance-optimized
  • Yield-focused selection
  • Efficient operations

DeFi Integration

weETH Ecosystem

  • Deep Aave integration
  • Pendle yield trading
  • Morpho lending
  • Widespread collateral acceptance

ezETH Ecosystem

  • Multi-chain DeFi presence
  • L2-native integrations
  • Growing lending support
  • Chain-specific partnerships

Risk Profiles

weETH Risk Factors

  • Concentrated on Ethereum
  • Conservative AVS selection
  • Lower potential yield, lower risk
  • Established track record

ezETH Risk Factors

  • Multi-chain bridge risks
  • Aggressive AVS exposure
  • Higher potential yield, higher risk
  • Faster expansion = more unknowns

Conclusion

weETH wins for users prioritizing security, decentralization, and Ethereum-native exposure. EtherFi's conservative approach provides peace of mind. ezETH appeals to yield optimizers and multi-chain users who want native restaking across ecosystems. Higher potential returns come with additional risks.

Choose based on your risk tolerance: weETH for stability, ezETH for aggressive yield seeking.

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Risk Analysis

**Multi-Chain Risk**: ezETH's native L2 deployments introduce chain-specific risks. WeETH's Ethereum focus is simpler. **AVS Selection Risk**: Renzo's aggressive yield strategy may include riskier AVSs. **Smart Contract Risk**: Both are relatively new. Multiple chain deployments multiply contract risk. **Bridge Risk**: weETH on L2s requires bridging. EzETH native deployments avoid this but add deployment complexity. **Protocol Risk**: Larger weETH TVL provides some safety margin.

Verdict

Winner: weETH for conservative users seeking the most established LRT with best Ethereum integration. ezETH wins for yield optimizers and multi-chain users who want native restaking across L2s. Match your choice to your risk appetite and chain preferences.

See current APY across both protocols side by side.

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