OpenBMB’s MiniCPM5-2B tops open models under 4B parameters on Artificial Analysis Index v4.2

A model with just 2 billion parameters has claimed the top spot among open models under 4 billion parameters on the Artificial Analysis Intelligence Index v4.2, scoring 15 points. OpenBMB’s MiniCPM5-2B, built in collaboration with Tsinghua University’s NLP lab and ModelBest, is designed to run on phones, laptops, and other devices where computational resources are a luxury, not a given. What the benchmark actually measures Artificial Analysis released version 4.2 of its Intelligence Index on September 4, 2026, just three days before MiniCPM5-2B launched. The updated index introduced meaningful changes to how AI models are evaluated. Private test sets now account for 40% of the total weighting, up from previous versions. This matters because private tests are harder to game. When model developers can’t see the exam questions in advance, scores become more credible signals of genuine capability. The v4.2 update also added two new evaluation components: the AA-Briefcase agentic evaluation and Surge’s GDP.pdf long-context test. These additions reflect the industry’s growing interest in models that can act autonomously and process very long documents, not just answer trivia questions we...