Open-weights LLMs close gap with proprietary models

A new analysis shows open-weights large language models now achieve 90-95% of the performance of leading closed-source models on key benchmarks. The gap has narrowed from 20% to under 10% in the past year, driven by advances in training techniques and data quality. This trend could reshape the AI industry by reducing reliance on proprietary APIs.