It's strange that they don't include reasoning training (RLVR). Their justification doesn't sound convincing:

> While reasoning models have grown in popularity in recent years, their abilities aren’t always the most efficient way to get a result. In enterprise settings, token costs and speed are often as important as performance. That is why turning to less expensive, non-reasoning models with similar benchmark performance for select tasks like instruction following and tool calling makes sense for enterprise users.

I guess they currently don't have the ability to do proper RLVR.