Before revision:  We argue that under many circumstances the smaller and lighter models fit better for AI-pivoting businesses and that we call for more research into low-cost models, especially for under-resourced languages.
After revision:  We show the trade-off between performance gain and the cost across the models to give more insights for AI-pivoting businesses and that we call for more research into low-cost models, especially for under-resourced languages.