What this estimator covers
Smart contract cost is a deployment and usage question. Deployment gas, function-level gas, network fees, L2 data costs, and Cosmos-style message pricing all affect whether a chain is economically suitable.
How EVM gas pricing works
EVM cost is gas used multiplied by gas price and native token price. L2s add their own fee models, including sequencer and data availability costs. The cheapest chain for deployment is not always the cheapest chain for repeated usage.
Optimisations that actually cut gas
Storage packing, calldata instead of memory, custom errors, immutable variables, fewer storage writes, and careful proxy choices can materially reduce cost. The right optimization depends on whether users pay mostly deployment cost or repeated function calls.
Assumptions and methodology
The estimator uses static function detection and approximate gas bands, then multiplies by selected network gas assumptions.
The page keeps the interaction fast, accessible, and dependency-light while preserving the important planning behaviour from the implementation plan: editable inputs, visible outputs, no signup gate, structured data, internal links, citations, and clear caveats. Heavy runtime features such as Monaco, solc, exact tokenizers, or PDF export should remain code-split when added so the public page stays fast.
Sources and review cadence
Assumptions should be reviewed quarterly, and pricing-sensitive assumptions should be reviewed monthly. The public data files in the repo include last-reviewed or last-verified dates where the plan calls for them.
Need the architecture behind the number?
Use this tool to narrow the conversation, then bring the scenario into an architecture review if the decision affects budget, security, compliance, or production reliability.
Book a strategy callFrequently asked questions
How accurate is the function gas estimate?
The lightweight page uses static detection and approximate bands, so it is useful for planning but not final deployment. Production estimates should be validated with Foundry, Hardhat, or chain-specific simulation against the exact compiler settings.
Why is Base sometimes cheaper than Arbitrum?
L2 fees depend on execution cost, calldata or blob data, sequencer pricing, congestion, and native token price. A chain that is cheaper for one contract shape may not be cheaper for another usage pattern.
Do Cosmos chains use the same gas model?
No. Cosmos SDK chains use gas concepts but fees, denominations, and message costs are chain-specific. A Cosmos estimate should use the target chain's docs and live fee market rather than EVM assumptions.
Does this account for EIP-4844?
The static estimate can represent lower L2 data costs conceptually, but final EIP-4844 impact depends on the L2 and current blob market. Validate with live chain data before shipping.
Can I estimate proxy patterns?
Use the deploy gas output as a rough guide only. Proxy patterns add implementation deploy cost, proxy deploy cost, initializer calls, and sometimes higher per-call overhead. Measure the exact pattern with a gas report.
How fresh is gas data?
The current page uses static assumptions for speed and reliability. A full production version should integrate cached live gas feeds and surface the timestamp so users know whether the estimate is current.