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Comparisons

Hop vs Across: Fee Efficiency

A technical comparison of Hop Protocol and Across Protocol focusing on fee structures, liquidity models, and architectural trade-offs for cross-chain bridging decisions.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The Fee Efficiency Battle in Cross-Chain Bridging

Hop Protocol and Across Protocol represent two dominant, yet architecturally distinct, approaches to minimizing user costs when moving assets between blockchains.

Hop Protocol excels at optimizing for speed and predictable, low-cost transfers between major Layer 2 rollups (Arbitrum, Optimism, Base) because it utilizes a canonical token bridge and a network of automated market makers (AMMs) on each destination chain. For example, a transfer from Arbitrum to Optimism often completes in minutes with fees typically under a few dollars, as it's a liquidity-based model where the finality of the source chain (e.g., Arbitrum's ~1 minute) is the primary bottleneck.

Across Protocol takes a different approach by employing a single, unified liquidity pool on Ethereum mainnet and a network of off-chain relayers who compete to fulfill user requests. This results in a critical trade-off: while users often see lower net costs for long-tail or high-value transfers due to intense relayer competition and efficient capital utilization, they must wait for the source chain's challenge period (e.g., ~12 minutes for Optimism, ~7 days for Arbitrum) for full economic security, introducing a latency-for-costs trade-off.

The key trade-off: If your priority is deterministic, fast finality for frequent, lower-value transfers between established L2s, choose Hop. Its AMM-based model is optimized for the rollup ecosystem. If you prioritize absolute fee minimization for high-value or cross-ecosystem transfers (e.g., Polygon to Arbitrum) and can tolerate variable latency, choose Across. Its single-pool, relayer-based architecture often wins on pure cost for non-time-sensitive moves.

tldr-summary
Hop vs Across: Fee Efficiency

TL;DR: Core Differentiators at a Glance

Key strengths and trade-offs at a glance.

01

Hop's Strength: Predictable, On-Chain Fees

Uses Automated Market Makers (AMMs): Fees are determined by on-chain liquidity pools, providing full transparency. This matters for protocols requiring precise cost forecasting for operations like treasury management or recurring cross-chain transfers.

02

Hop's Weakness: Higher Gas & Slippage Costs

Multi-step bridging process: Requires a canonical bridge hop plus an AMM swap on the destination chain, incurring gas fees on both sides. This leads to higher effective costs for large transfers due to potential slippage in liquidity pools.

03

Across's Strength: Optimistic Relayer Model

Capital-efficient relay system: Uses bonded relayers who front funds, with fees settled later via a UMA oracle. This enables consistently lower total costs for users, especially for large, time-sensitive transfers where speed and finality are critical.

04

Across's Weakness: Relayer Dependency & Complexity

Fee model is less transparent: Final cost depends on relayer competition and oracle resolution, adding a layer of abstraction. This matters for developers who prioritize deterministic, contract-readable fee quotes over absolute lowest possible cost.

HEAD-TO-HEAD COMPARISON

Feature Matrix: Hop vs Across Fee Architecture

Direct comparison of bridging cost structures and efficiency metrics.

MetricHop ProtocolAcross Protocol

Primary Fee Model

Bonder LP Fees + Gas

Relayer Rewards + Gas

Avg. Total Fee (ETH Mainnet → Arbitrum)

~0.1% + $5-15

~0.05% + $2-8

Fee Predictability

Native Gas Token Bridging

Gas Cost Covered for User

Optimistic Rollup Support

Zero-Knowledge Rollup Support

Instant Liquidity Guarantee

COST ANALYSIS COMPARISON

Hop vs Across: Fee Efficiency

Direct comparison of fee structures, costs, and economic models for cross-chain bridging.

MetricHop ProtocolAcross Protocol

Typical Fee (USDC, Ethereum → Arbitrum)

~$5-15

~$2-8

Fee Components

Bonder Fee + Chain Gas + AMM LP Fee

Relayer Fee + Gas Reimbursement

Gas Cost Coverage

User pays destination gas

Relayer covers destination gas (reimbursed)

Native Token Required for Fees

Average Bridge Time

~3-10 minutes

~1-4 minutes

Liquidity Model

Canonical Token Pools (AMMs)

Single Sided Liquidity Pools

Supported Chains

Ethereum, Arbitrum, Optimism, Polygon, Gnosis

Ethereum, Arbitrum, Optimism, Polygon, Base

pros-cons-a
PROS AND CONS

Hop Protocol vs Across Protocol: Fee Efficiency

A data-driven comparison of fee structures and capital efficiency for cross-chain bridging. Key metrics like gas costs, liquidity provider fees, and speed determine total cost for users.

01

Hop's Strength: Predictable, Flat Fees

Fixed Bonder Fee Model: Users pay a flat, predictable fee set by bonders, decoupled from volatile on-chain gas. This provides cost certainty for high-frequency traders and arbitrage bots. Fees are often lower for small transfers on popular routes like Ethereum <> Arbitrum.

02

Hop's Drawback: Capital Inefficiency

Locked Liquidity in Rollups: Hop requires pre-funded liquidity pools (like USDC or ETH) on each destination chain. This capital sits idle when not in use, increasing opportunity costs for LPs and potentially leading to higher fees during low-liquidity periods on newer chains.

03

Across's Strength: Optimistic Relayer Model

Capital Efficiency via Insurance: Uses a single liquidity pool on Ethereum and optimistic relays to fulfill transfers. This reduces idle capital, allowing LPs to earn yield elsewhere. Lower capital overhead can translate to lower realized fees for large transfers (>$10k).

04

Across's Drawback: Variable Speed & Slippage

Speed-Fee Trade-off: The optimistic model introduces a variable challenge period (typically ~20 min). Users can pay a premium for instant execution via Fast Fill relays, which adds cost. For time-sensitive trades, this can make fees unpredictable compared to Hop's fixed model.

pros-cons-b
PROS AND CONS

Hop vs Across: Fee Efficiency

A direct comparison of fee structures and economic models for cross-chain bridging. Use this to calculate your protocol's long-term operational costs.

01

Across: Lower User Fees (Typically)

Relayer competition model: Fees are dynamically set by competing relayers, often leading to subsidized or near-zero gas costs for users. The protocol uses a single liquidity pool per chain (like USDC on Ethereum) with a unified virtual AMM, reducing LP fragmentation and fee overhead.

This matters for: High-frequency traders, users bridging small amounts, and protocols where user acquisition cost is critical.

02

Hop: Predictable, Fixed Fee Model

Bonder fee + AMM swap fee: Users pay a clear, fixed bonder fee (for instant guarantee) plus a variable AMM swap fee on the destination chain. No auction or bidding. Fees are transparent in the UI before the transaction.

This matters for: Enterprise users and treasury managers who require predictable, auditable cost structures and dislike fee volatility.

03

Across: Capital Efficiency for LPs

Single-sided liquidity: Liquidity Providers (LPs) deposit into a single asset pool (e.g., USDC on Ethereum). This capital is used to fulfill transfers to all supported destination chains, maximizing utilization. LPs earn fees from all cross-chain volume, not just one route.

This matters for: Large liquidity providers (DAOs, funds) seeking higher yield on concentrated capital and simplified management.

04

Hop: Liquidity Fragmentation Cost

Canonical bridge wrapper model: Requires wrapped assets (hTokens) and separate liquidity pools for each asset on each chain. This fragments capital, increasing LP overhead and potentially leading to higher slippage/swap fees on less-liquid routes.

This matters for: Bridging niche assets or using newer chains where liquidity for hTokens may be thin, increasing effective cost.

CHOOSE YOUR PRIORITY

User Scenarios: When to Choose Hop vs Across

Hop for DeFi

Verdict: The go-to for composable, multi-hop liquidity. Strengths: Hop's native hTokens (e.g., hUSDC, hETH) and AMM pools on each destination chain enable deep, permissionless liquidity for complex routing. This is critical for protocols like Aave or Compound that need to manage cross-chain positions. Its canonical token bridging is ideal for wrapping/unwrapping assets for use in other DeFi primitives. Trade-off: You pay for this composability with slightly higher gas fees on the destination chain to claim via the AMM.

Across for DeFi

Verdict: Superior for single-asset, cost-sensitive transfers. Strengths: Across's single-sided liquidity pools and optimistic relayer model minimize destination chain gas costs, making it highly efficient for moving capital between DeFi hubs like Arbitrum and Optimism. Its UMA-powered oracle provides secure, low-latency data for fast fills. Best for simple asset transfers where the lowest total cost (source fee + destination gas) is paramount. Trade-off: Less native composability; bridged assets are standard tokens, not specialized liquidity pool tokens.

verdict
THE ANALYSIS

Verdict and Strategic Recommendation

A final breakdown of the fee efficiency trade-offs between Hop and Across, guiding infrastructure decisions based on volume, speed, and cost predictability.

Hop Protocol excels at predictable, low-cost transfers for high-volume users and integrators because of its native AMM-based model. By leveraging liquidity pools on destination chains, Hop provides a clear, upfront fee quote that includes a small protocol fee (e.g., 3-5 bps) and the destination chain's gas cost. This model is highly efficient for frequent, large transfers where fee predictability is critical, as seen in its integration with protocols like Connext and Socket for optimized routing.

Across Protocol takes a different approach by utilizing a competitive, auction-based relay system. This results in a trade-off between potential for lower absolute costs and less fee predictability. Relayers bid to fulfill transfers, often leading to lower realized fees for users, especially during non-peak times. However, fees can be more variable. This model is powered by UMA's optimistic oracle and a single liquidity pool on Ethereum, making it highly capital-efficient for the protocol but introducing a variable cost for the end-user.

The key trade-off: If your priority is cost predictability and integration simplicity for high-frequency operations, choose Hop. Its AMM model offers stable, composable fees ideal for dApps and bots. If you prioritize achieving the lowest possible absolute transfer cost and can tolerate some fee variability, choose Across. Its relay auction can provide superior fee efficiency for less time-sensitive, larger transactions where users can afford to wait for the best bid.

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Hop vs Across: Fee Efficiency Comparison for CTOs | ChainScore Comparisons