ChainBench: An LLM Benchmark for Multichain Code Generation
Blog post from Circle
Circle Internet Financial has developed ChainBench, an LLM benchmark designed to evaluate the ability of AI models to generate secure, multichain smart contracts, which are essential in the decentralized blockchain ecosystem. The study, conducted in collaboration with OpenZeppelin, assesses model-agent systems across 42 tasks of varying difficulty, including smart contract generation and translation, using industry-standard libraries like OpenZeppelin Contracts. ChainBench reveals that while AI models can efficiently handle simpler tasks and produce functional code quickly, they often struggle with complex tasks, potentially missing crucial security elements, which is critical given the public and high-value nature of blockchain systems. The benchmark highlights the importance of rigorous human review and testing of AI-generated smart contracts, emphasizing that although frontier models have advanced capabilities, they must be used cautiously to prevent security vulnerabilities, as blockchain exploits often arise from edge cases rather than typical scenarios.