OpenAI has released SWE-bench Verified, a human-validated subset of the SWE-bench benchmark designed to more reliably evaluate AI models' ability to solve real-world software issues. This new version supersedes the original SWE-bench and SWE-bench Lite test sets by addressing flaws that previously led to underestimating model capabilities.

The release includes 500 samples verified by professional developers to ensure well-specified issue descriptions and appropriately scoped unit tests. It also provides annotations for all 1,699 sampled test items, enabling difficulty slicing into 'easy' (196 tasks) and 'hard' (45 tasks) subsets. Additionally, a new evaluation harness using containerized Docker environments is released to improve setup reliability.

On SWE-bench Verified, GPT-4o resolves 33.2% of samples, while the best open-source scaffold, Agentless, doubles its previous score to 16%.