The Cost of Safe Wallet Approvals: Gas Fees Across Networks and Scaling Solutions

A DAO treasurer needs to move 500 ETH from the treasury into a liquidity pool. The decision is straightforward—three of five signers have approved the transaction. But execution is not. On mainnet Ethereum, the multisignature approval process alone can cost 150,000 to 250,000 gas, translating to $400–$2,000 in fees depending on network congestion. That overhead exists before the actual asset transfer takes place. For organizations managing millions in assets across multiple blockchains, understanding where those costs originate and how to reduce them becomes a question of operational efficiency rather than convenience.

Safe Wallet, formerly known as Gnosis Safe, abstracts much of this complexity behind a user interface. A team connects EVM-compatible wallets, sets approval thresholds, and executes transactions collaboratively. Yet the abstraction does not eliminate the underlying economics. Every signature collected, every state change recorded, and every interaction with a smart contract carries a measurable cost. The difference between managing assets on Ethereum Layer 1, Polygon, Arbitrum, Optimism, or Base can swing costs by an order of magnitude—and the choice of network may be dictated not by preference but by where the assets already live.

Why multisignature transactions cost more than single-signature transfers

A standard Ethereum address transfer requires one signature and minimal state change. A multisignature wallet requires several components: signature collection, threshold validation, nonce management, and execution authorization. The Safe contract stores pending transactions as proposals until enough signers have approved them. Each approval is itself a transaction that calls the contract, increments the confirmation count, and emits an event for verification.

The architectural consequence is unavoidable overhead. A 2-of-3 multisig with simple ETH transfer typically costs around 50,000 to 80,000 gas for the first approval signature and 30,000 to 50,000 for each additional signer approval. If execution is bundled with the final signature—a common optimization called “execution on approval”—the total can reach 100,000 to 150,000 gas. On Ethereum at a 50 gwei base fee plus 20 gwei tip, this translates to roughly $2 to $5 per transaction. During peak congestion, when base fees spike to 100+ gwei, the same transaction costs $4 to $10.

ERC-20 token transfers carry additional overhead because the contract must validate not just signatures but also token contract interactions. A 3-of-5 multisig executing a stablecoin transfer can cost 120,000 to 180,000 gas—double or more than a simple ETH operation. The difference arises from the token contract’s approval and transfer logic, which adds external calls and storage operations on top of the multisig verification.

Batching multiple approvals from different signers into a single transaction is the most direct efficiency gain. Instead of three separate transactions each containing one signer’s approval, the relayer or final signer can execute all confirmations in a single call. This reduces redundant contract state access and saves roughly 20,000 to 40,000 gas per additional signer after the first. For a 4-of-7 multisig, batching can reduce total approval costs by 30 to 40 percent compared to sequential execution.

Ethereum Layer 1 economics and when they become untenable

Ethereum mainnet offers the strongest security and largest ecosystem of integrated protocols, but the cost structure makes it prohibitive for frequent, small multisig operations. A DAO approving a $50,000 payment where three of five signers must consent may face $500 to $1,500 in combined gas fees—a roughly 1 to 3 percent overhead. For a $500,000 transaction, the fee remains fixed at the same level, reducing proportional cost to 0.1 to 0.3 percent. For a $50,000 operation, that overhead is meaningful. For a $5,000,000 operation, it is negligible relative to execution risk and slippage.

The real constraint is transaction frequency combined with value per transaction. An organization that executes ten payments monthly on mainnet faces roughly $200 to $300 in monthly multisig overhead before any actual transfers occur. If those ten payments are consolidated into three larger transactions, the total overhead drops to $60 to $90. Conversely, an organization executing fifty payments monthly across a DAO, treasury rebalances, and operational expenses faces $1,000 to $1,500 in approval overhead, making network choice a material line item in operational budgeting.

Base case planning suggests that organizations with aggregate transaction values above $100,000 per month can absorb mainnet multisig costs as a rounding error. Organizations below that threshold typically benefit from migration or operational restructuring. Some approaches include pre-funding multisig wallets on rollups for frequent operations and periodically bridging accumulated capital back to mainnet for storage. Others use mainnet only for high-value or infrequent decisions, delegating day-to-day operations to cheaper networks.

Polygon, Arbitrum, Optimism, and the speed-versus-liquidity trade-off

Polygon operates as a separate blockchain with its own validator set, producing blocks roughly every 2 seconds with gas costs typically 100 to 1,000 times lower than Ethereum mainnet during comparable load. A multisig transaction that costs 150,000 gas on mainnet at 50 gwei ($3–$4) costs 150,000 gas on Polygon at 0.05 gwei ($0.005–$0.01). That is not a marginal improvement; it is a strategic difference. An organization can execute hundred-dollar transactions without meaningful fee erosion, supporting operational workflows impossible on mainnet.

The trade-off is liquidity and security model. Polygon uses its own validator set rather than re-staking Ethereum’s consensus security. Bridges between Polygon and Ethereum require either centralized custodians or time-delayed exit mechanisms. For DAOs managing treasuries denominated in mainnet assets, moving capital to Polygon means bridging, which introduces bridge counterparty risk and liquidity fragmentation. Large operations that bridge significant amounts face slippage and execution costs that can exceed gas fee savings for a single transaction. Polygon makes sense for high-frequency, lower-value operations on assets already on the network or for organizations that have deliberately diversified across chains.

Arbitrum and Optimism are Ethereum rollups, submitting transaction batches to mainnet in compressed form. They inherit Ethereum’s security model while offering gas costs typically 10 to 100 times lower than mainnet. A 150,000-gas multisig approval costs 0.15 ETH on mainnet but 0.015 to 0.05 ETH on Arbitrum depending on data compression efficiency and current mainnet fees. Liquidity is stronger than Polygon because the assets are closer to Ethereum’s ecosystem and settlement is cryptographically final rather than dependent on a bridge operator’s integrity.

Optimism’s design compresses transaction data more aggressively, sometimes producing lower fees than Arbitrum for the same operations, though the ordering and finality differ. Both rollups support identical Safe Wallet deployments and contract logic, so operational procedures remain portable. The decision between them often comes down to where ecosystem liquidity and counterparties already exist rather than technical superiority.

Base and emerging Layer 2 networks as practical alternatives

Base is Coinbase’s Optimism rollup, launched with strong liquidity and institutional support. Gas costs typically track slightly above Optimism due to transaction volume, but remain 50 to 100 times cheaper than mainnet. The advantage of Base is adoption among institutional custody providers and easier onboarding for organizations that already use Coinbase infrastructure. For a DAO with signers spread across different crypto custodians, Base can offer a middle ground between mainnet security and rollup affordability.

Other Layer 2 options—Scroll, StarkNet, Linea, and others—support Safe Wallet or Safe-like multisig contracts but with varying liquidity and ecosystem maturity. Choosing among them requires evaluating where the organization’s existing assets are located, which DeFi protocols must be integrated, and how much friction is acceptable for moving capital between networks. A protocol managing 100 million in stablecoins across multiple chains cannot rely entirely on a young rollup with limited exit liquidity.

The practical workflow for organizations using multiple Layer 2 networks often involves operating separate Safe instances on each network. A Mainnet Safe holds major strategic reserves and executes infrequent, high-value decisions. Arbitrum or Optimism Safes handle moderate-frequency, moderate-value operations. Polygon or Base Safes execute frequent, smaller transactions with minimal fee drag. This architectural layering requires discipline around bridging and rebalancing but maps operational frequency to network economics efficiently.

Signature batching, relayers, and execution optimization

Safe Wallet’s relayer infrastructure enables a single transaction to include multiple signers’ approvals collected off-chain. Instead of three signers each submitting a separate on-chain transaction, the first or final signer executes a bundled approval that applies all signatures in one call. This optimization typically saves 20 to 40 percent of total gas costs by eliminating redundant contract interactions.

Relayers are third-party services that submit transactions on behalf of users, often subsidizing small transaction fees or batching operations to achieve economies of scale. Trustworthy relayers are maintained by Safe’s core infrastructure and by organizations running their own nodes. Using a relayer introduces a small trust assumption—the relayer temporarily controls the transaction ordering and can observe pending operations—but does not grant custody of funds because the multisig contract retains authorization logic.

For frequent operational flows, organizations can also run private relayer infrastructure, maintaining full control over transaction ordering and fee parameters. This is most practical for DAOs or protocols with dedicated engineering resources. The operational complexity is modest—relayer code is open source and well documented—but adds another service to monitor and maintain.

Fee delegation is another optimization layer. Safe allows signers to designate a fee payer separate from the transaction executor, meaning signers can contribute their approval without holding ETH for gas. This is critical for workflows where signers are distributed geographically or across custody solutions. One treasury manager can hold the fee budget and submit all approved transactions, reducing the operational friction of coordinating individual signer balances.

Smart contract custody rules enforce cost discipline

Safe Wallet’s architecture encodes approval rules into immutable smart contracts, eliminating the ability of signers to unilaterally bypass thresholds. A 3-of-5 multisig cannot accidentally become a 1-of-5 because signers lost quorum. This immutability creates a cost: every change to the rule set—adding a signer, adjusting the threshold, removing a member—is itself a transaction requiring multisig approval and paying gas fees.

Organizations often underestimate the operational cost of governance changes. A DAO that changes signers three times per year on a Layer 1 blockchain faces an additional $1,000 to $2,000 annually in governance overhead. On a rollup, that cost drops to $10 to $100 per change, making governance agility materially cheaper. This asymmetry has subtle effects on organizational structure: mainnet-based DAOs tend toward more stable, long-tenure signer groups because membership changes carry visible costs. Rollup-based DAOs can afford to rotate signers more frequently without proportional fee burden.

The immutability also provides assurance to counterparties and integrating protocols. When Safe Wallet login with Web3 wallets requires genuine multisig authorization, the contract rules cannot be silently altered by a single compromised signer or insider threat. That trustless verification comes at the cost of operational friction when rules genuinely need to change. Organizations should therefore structure signers and thresholds conservatively, knowing that adjustment will be expensive and require group consensus.

Bridge economics and cross-chain asset coordination

Organizations with assets on multiple blockchains face bridge slippage, time-delay risk, and fragmented liquidity. A Safe instance on Ethereum mainnet cannot directly access capital on Arbitrum; bridging introduces another transaction cost and execution risk. For a 10 million dollar transfer from mainnet to Arbitrum, bridge fees and slippage can range from 0.01 to 0.1 percent depending on the bridge operator and liquidity condition—$1,000 to $10,000. That overhead dominates multisig gas costs and becomes the dominant constraint on cross-chain capital deployment.

Some organizations address this by maintaining separate Safe instances on each network but with overlapping signers. A five-person multisig council manages separate treasuries on mainnet, Arbitrum, and Polygon, with each instance using the same signer set. This requires coordination across treasuries—a DAO must decide how to allocate capital across networks—but avoids repeated bridge costs. The trade-off is operational complexity: signers must understand that they are managing multiple portfolios rather than one unified account.

Liquidity pools and yield-bearing assets add another layer. A stablecoin held on Polygon can earn yield in a liquidity pool at minimal gas cost but cannot easily be moved to Ethereum without bridging. Organizations with frequent rebalancing needs often choose a primary network and accept the cost of bridging in and out rather than spreading operations across multiple networks and paying constant coordination overhead.

Planning multisig costs: a practical calculator

Organizations evaluating Safe Wallet should model expected annual costs based on transaction frequency, average value, network choice, and signer configuration. Start with the baseline: a 3-of-5 multisig executing 50 transactions per year on Ethereum mainnet, with average transaction value of $200,000. Multisig approval overhead is roughly 150,000 gas per transaction at 50 gwei average, yielding $1.50 per transaction or $75 annually. For a $200,000 transaction, that is negligible. Scale to 200 transactions per year and costs reach $300 annually, still immaterial.

Switch the same scenario to a 4-of-7 multisig with 200 transactions per year, and baseline costs rise to $400 to $600 annually. Now add signer governance changes—four times per year at $500 per change on mainnet—and total governance overhead reaches $2,400 annually. For a DAO with $10,000,000 in treasury assets and 200 annual transactions, $2,400 is 0.024 percent of assets, easily acceptable. For a smaller DAO with $500,000 in assets, the same costs represent 0.48 percent overhead, materially different.

Moving that same DAO to Arbitrum reduces multisig costs to $30 annually and governance changes to $20 each, totaling $180 per year. The decision becomes whether the 2,220 dollar annual savings justifies the operational complexity of managing capital on a different blockchain, maintaining separate liquidity, and accepting bridge slippage when eventually moving capital back to mainnet. For a growing DAO, the math tips toward rollup-based operations once transaction volume exceeds 100 per year.

The calculation should also account for network volatility and fee spikes. During periods of high Ethereum congestion, base fees can reach 100 to 200 gwei, quintupling expected costs. An organization planning for “average” conditions faces budget shocks when network conditions change. Conservative planning assumes peak fee conditions and builds in 3 to 5 times the calm-market estimate.