Model Releases
As coding models improve, evals need to become harder, fairer, and more trustworthy. Better benchmarks help the field understand real progre…
As AI coding models advance in capability, current evaluation benchmarks must evolve to remain challenging and meaningful measures of progress. OpenAI argues that improved benchmarks need to be harder
As AI coding models advance in capability, current evaluation benchmarks must evolve to remain challenging and meaningful measures of progress. OpenAI argues that improved benchmarks need to be harder, fairer, and more trustworthy to accurately assess real improvements in coding AI systems rather than gaming on existing tests. Better evaluation standards are essential for the field to understand genuine progress and prevent inflated claims of model performance.
Source: OpenAI (X) | 2026-07-08