A recent Reddit post, highlighted by r/LocalLLaMA, points out that 4 of the 5 most used models on OpenRouter this week are open source.

This data suggests a growing adoption of open source solutions in the artificial intelligence landscape. The preference for open source models can be attributed to several factors, including code transparency, customization possibilities, and the absence of proprietary constraints.

For those evaluating on-premise deployments, there are trade-offs between proprietary and open source models in terms of performance, TCO, and compliance requirements. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.