Blocknative Blog

Avalanche 101: How Gas Works on Avalanche

Written by Blocknative | January 9, 2025

Avalanche is a high-performance, scalable, and customizable Layer-1 blockchain platform designed to address the limitations of existing blockchain networks.

With its unique architecture and novel consensus mechanism, Avalanche achieves low-latency transaction finality, high throughput, and robust security, making it an ideal platform for dapps, financial primitives, and enterprise solutions.

Understanding Gas Fees on Avalanche

In the Avalanche ecosystem, gas fees play a critical role in network operations. Unlike other networks, gas fees on Avalanche are burned rather than distributed to validators, reducing the overall supply of AVAX and benefiting all token holders.

Avalanche's architecture comprises three primary chains, each serving distinct functions:

  1. X-Chain (Exchange Chain): Facilitates the creation and exchange of digital assets
  2. C-Chain (Contract Chain): Hosts the Ethereum Virtual Machine (EVM) implementation, enabling the creation of smart contracts and dApps
  3. P-Chain (Platform Chain): Manages network metadata, including validator activities and the creation of L1s

Each chain has its own fee structure tailored to its specific operations.

C-Chain Transaction Fees

The C-Chain employs a gas fee mechanism similar to Ethereum's, utilizing the EIP-1559 model, which introduces a base fee that adjusts according to network demand, and an optional priority fee (tip) to incentivize faster transaction processing. Users specify a gas limit, representing the maximum amount of gas they are willing to consume for a transaction.

P-Chain Transaction Fees

The P-Chain utilizes a dynamic fee mechanism to optimize transaction costs and network utilization. This system adapts fees based on gas consumption to maintain a target utilization rate. Gas consumption is measured across four dimensions:

  • Bandwidth: The transaction size in bytes.
  • Reads: The number of state/database reads.
  • Writes: The number of state/database writes.
  • Compute: The compute time in microseconds.

The total gas consumed by a transaction is calculated using these dimensions, and fees adjust dynamically based on excess gas consumption, which is the difference between current gas usage and the target gas rate.

Avalanche Docs

Optimizing Gas Usage on Avalanche

To minimize transaction costs on Avalanche, consider the following strategies:

  • Efficient Contract Design: Optimize smart contract code to reduce computational complexity, thereby lowering gas consumption.
  • Transaction Batching: Combine multiple operations into a single transaction when possible to take advantage of cost efficiencies.
  • Monitor Network Activity: Execute transactions during periods of lower network demand to benefit from reduced base fees

Leveraging Blocknative's Tools

Blocknative offers a suite of tools designed to enhance the transaction experience on Avalanche via Avaxgas.com:

  • Gas Estimation API: Provides real-time, accurate gas fee predictions, enabling users and developers to make informed decisions and avoid overpayment.
  • Transaction Monitoring: Offers insights into transaction statuses, helping users track progress and promptly identify potential issues.

By integrating Blocknative's solutions, Avalanche users can navigate the network at-cost and with efficiency.

Apps, projects, and protocols within the Base ecosystem should consider using Blocknative to drive gas solutions at scale. You can learn more about our gas estimators and decoding APIs here. And reach out to hello@blocknative.com to schedule a call.

AVAX Transaction Fees in 2025

Avalanche's innovative architecture and consensus mechanism offer a scalable and efficient platform for dapps and protocols. Understanding transaction fee structures and optimization strategies are essential for developers and users aiming to maximize the benefits of building on Avalanche.

Tools like Blocknative’s Gas Estimation API further enhance user experience, enabling seamless and economical interactions within the Avalanche ecosystem.