For Ling-2.6-1T, what would make the size feel justified first: quality per token, local serving reality, or long context stability?

The first question I have about Ling-2.6-1T is not “is the model card impressive?” It is whether the boring trade-off makes sense. It is an open-sourced Ant/InclusionAI flagship with about 1T total params / 63B activated params, up to 1M native context, and 256K currently exposed through the officia