Monad testnet performance and parallel execution comparison

Monad targets 10,000 transactions per second through parallel execution and deferred state commitment. Current reports indicate the network uses only 0.07% of this stated capacity. Monad uses pipelining with a slight offset to run multiple processes at the same time. This architecture includes state access pipelining, transaction execution pipelining, consensus pipelining, and consensus mechanism pipelining. MonadDB handles optimized state storage. Keone Hon, a Monad co-founder, designed the network to run on "consumer-grade hardware", such as a 32GB RAM machine, a 2TB SSD, 100 megabits of bandwidth, and a reasonable CPU. Monad separates consensus and execution to increase performance. The network has a market capitalization of $375.6 million and total value locked above $400 million. Although the MON token price reached $0.032, a massive cliff of 10.69 billion team tokens and 4.93 billion investor tokens will enter circulation in late 2026. The total supply includes 50.6% that remains locked. The network design ensures that anyone can run a node and verify every state transition and every account balance. Decentralization in Monad means control over the system is split into many different entities that enforce the rules through code. This system creates a separation of powers so that no single branch of the network gains control or the ability to execute its own will independent of the other branches.

Sei v2 utilizes optimistic parallelization through Optimistic Concurrency Control to process transactions. This method allows smart contracts to run without declaring resources upfront. If a conflict occurs, the system identifies the conflicting transactions, removes their results from the temporary buffer, and re-executes the conflicting set in a deterministic, sequential order to ensure the results remain correct. This re-execution process introduces latency when multiple transactions attempt to modify the same state key. Sei uses SeiDB to manage state and reduce synchronization delays. The Sei parallelization engine achieves 15,000 plus transactions per second for simple transfers and 9,500 plus for ERC-20 transfers. It also achieves 2,800 plus for DEX swaps and 1,500 plus for complex contracts. Sei manages transactions using a worker pool that adapts to system resources and a scheduler that uses graph-based algorithms to minimize conflicts. The scheduler also includes lookahead capabilities for multi-step dependency chains. Sei’s "Twin-Turbo Consensus" utilizes Intelligent Block Propagation and Optimistic Block Processing to streamline how transactions are handled. Intelligent block propagation allows block proposers to transmit a proposal containing only a hash for each transaction, which validators use to reconstruct the block from their local mempool.

Neon EVM creates a compatibility layer on Solana by using incentivized operators to wrap Ethereum transactions into Solana transactions. These operators receive Ethereum-like transactions from dApps and then package them for the Solana blockchain. This process creates latency between the Ethereum dApp and the Solana execution environment. Neon was developed by Anatoly Yakovenko, Andrey Falaleyev, and Marina Guryeva. Neon allows developers to use Solidity on Solana without changing code, but the transaction must pass through the Neon Proxy and Neon Operators. Users can still use familiar tools like MetaMask and Remix to interact with the network. Monad is a standalone layer one with full bytecode compatibility. You probably already know that cross-chain latency impacts the user experience in environments that rely on wrappers. Monad is the better choice for users who want high performance and decentralized control without the latency of cross-chain wrappers. Will the Monad mainnet launch satisfy the requirements of enterprise users?