Aptos and Sui: Comparing Execution Models, Consensus, and Tokenomics

Summary

This comparison outlines how Aptos and Sui seek high throughput through parallel transaction processing. Aptos uses an account-based model and Block-STM to execute transactions concurrently and validate dependencies afterward. Sui organizes state around objects, allowing independent operations to run in parallel and some simple transactions to bypass consensus. The article also contrasts their consensus designs: Aptos uses a Byzantine fault tolerant approach, while Sui combines Narwhal transaction organization with Bullshark processing.

It reports Aptos finality at approximately 0.9 seconds and gives a theoretical 2–3 second finality time for Sui, while suggesting Sui’s object model may scale efficiently in theory and noting Aptos performance on live networks. Tokenomics differ as well: Sui has a capped supply of 10 billion and a storage fund, whereas Aptos has uncapped supply, declining inflation, and fee burns. Both target DeFi, gaming, and social applications. These are high-level claims without a consistent benchmark methodology; the article also notes a Cetus Protocol exploit and does not quantify ecosystem or security comparisons.

Key ideas

• Aptos uses an account-based state model and Block-STM for parallel execution, while Sui uses an object-centric model.
• Sui’s design allows some transactions involving independent objects to proceed without consensus.
• The article contrasts Aptos Byzantine fault tolerant consensus with Sui’s Narwhal and Bullshark components.
• Aptos and Sui differ in reported supply policies and token mechanisms, including Sui’s storage fund and Aptos fee burns.
• The performance and scalability claims lack a common benchmark methodology, and the document notes a Sui ecosystem security incident.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.