OpenAI GPT-4o Ranked Top AI Model for Solidity Smart Contract Development by IQ

OpenAI GPT-4o has been ranked as the best AI model for generating Solidity smart contracts, scoring 80.05 on the SolidityBench leaderboard by IQ, which evaluates models using NaïveJudge and HumanEval for Solidity benchmark

SolidityBench, a new benchmark leaderboard by IQ, has been launched as the first platform dedicated to evaluating the proficiency of large language models (LLMs) in generating Solidity smart contract code. Hosted on Hugging Face, the leaderboard introduces two key benchmarks—NaïveJudge and HumanEval for Solidity—to assess and rank various AI models based on their ability to generate secure and efficient blockchain code.

Developed by IQ’s BrainDAO as part of its upcoming IQ Code suite, SolidityBench serves to improve their proprietary EVMind LLMs while comparing their performance against other generalist and community-developed models. As the blockchain sector continues to grow, SolidityBench aims to fill a critical gap in ensuring the development of safe and reliable smart contracts.

OpenAI GPT-4o Tops SolidityBench Leaderboard

In the benchmarking results, OpenAI’s GPT-4o model achieved the highest overall score of 80.05, outperforming newer reasoning models like o1-preview and o1-mini, which scored 77.61 and 75.08, respectively. OpenAI’s GPT-4o demonstrated superior performance, achieving a NaïveJudge score of 72.18 and pass rates of 80% at pass@1 and 92% at pass@3 in HumanEval for Solidity tasks.

Other leading models in the top 10 include Claude 3.5 Sonnet and grok-2 from Anthropic and XAI, which posted competitive overall scores around 74. Meanwhile, Nvidia’s Llama-3.1-Nemotron-70B came in at the lower end of the top 10, scoring 52.54.

How SolidityBench Evaluates AI for Smart Contract Development

NaïveJudge, one of the key benchmarks in SolidityBench, takes a novel approach by asking AI models to implement smart contracts based on detailed specifications derived from audited OpenZeppelin contracts. These contracts serve as the gold standard for security and functionality, ensuring that the code generated by LLMs adheres to the highest standards of Solidity best practices, optimization efficiency, and security requirements.

In addition, SolidityBench uses HumanEval for Solidity, an adaptation of OpenAI’s original HumanEval benchmark for Python. This benchmark includes 25 tasks of varying difficulty, each with corresponding tests compatible with Hardhat, a popular Ethereum development environment. The tasks are evaluated using metrics such as pass@1 and pass@3, which measure how successfully the model generates correct code on the first and subsequent attempts.

The results are reviewed by advanced LLMs, including OpenAI’s GPT-4 and Claude 3.5 Sonnet, which act as impartial code reviewers, evaluating the generated Solidity code for correctness, security, and gas efficiency. These benchmarks are crucial for determining whether AI models can meet the growing need for secure and efficient smart contracts in the blockchain space.

Driving Innovation in AI-Assisted Smart Contract Development

The goal of introducing SolidityBench is to advance AI’s role in smart contract development. It encourages the creation of more sophisticated and reliable AI models while providing developers and researchers with key insights into the capabilities and limitations of current AI systems when applied to Solidity code generation.

By setting new standards in AI-assisted smart contract development, SolidityBench not only advances IQ Code’s EVMind LLMs, but it also pushes the boundaries of what AI can achieve within the broader blockchain ecosystem. As the demand for secure and optimized smart contracts continues to rise, this initiative aims to meet those needs through the continuous refinement of AI tools.

Developers, researchers, and AI enthusiasts are invited to explore the SolidityBench leaderboard and contribute to the growing knowledge base of AI-powered smart contract development. For those interested, the platform is accessible on Hugging Face, where users can benchmark models and track the progress of AI in Solidity generation.

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