A bounded context’s size, by itself, is not a deciding factor. Models shouldn’t necessarily be big or small. Models need to be useful. The wider the boundary of the ubiquitous language is, the harder it is to keep it consistent. It may be beneficial to divide a large ubiquitous language into smaller, more manageable problem domains, but striving for small bounded contexts can backfire too. The smaller they are, the more integration overhead the design induces.
