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Avalanche C-Chain Benchmarked on Transaction Costs and Fee Capture

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Avalanche C-Chain Benchmarked on Transaction Costs and Fee Capture

Avalanche C-Chain's transaction costs and fee capture analyzed against nine blockchains, highlighting economic trade-offs and the impact of recent upgrades.

Avalanche Foundation has released a detailed benchmarking study comparing the Avalanche C-Chain with eight other blockchain networks—Arbitrum, Base, BSC, Ethereum, Optimism, Polygon, Solana, and Tron—on transaction costs, application revenue, and network fee capture. The analysis explores the economic trade-offs between low transaction fees and the value retained by blockchain infrastructure, a critical question for long-term network sustainability.

The study highlights a key industry dilemma: while lower transaction fees can attract more activity, they may also reduce the share of value captured by the network itself. This trade-off is central to Avalanche’s ongoing efforts to optimize its fee structure, particularly following the Helicon upgrade on September 22, 2026. Helicon introduced ACP-283, allowing validators to continuously vote on the minimum gas price, a departure from previous fixed-floor mechanisms.

According to the report, Avalanche’s C-Chain burns all transaction fees—both base and priority fees—removing AVAX from circulation rather than distributing fees to validators. Validators are instead compensated through staking rewards. This unique fee structure, combined with recent upgrades, positions Avalanche as a case study in balancing affordability and economic sustainability.

These findings underscore that neither transaction prices nor fee revenue alone can fully measure a network’s economic performance. The composition and scale of application activity are equally important factors.

These changes have shifted the C-Chain from a fixed-floor pricing model to a more flexible system. For most of its history, the C-Chain’s base fee closely tracked its minimum floor, but Helicon’s validator-driven mechanism allows for more responsive pricing adjustments.


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