Kimi K3 entered the market with a bold claim: number one on the Arena coding leaderboard, ahead of Claude Fable 5 and GPT-5.6 Sol. Then the pricing landed-output at 100 CNY per million tokens, up from K2.6's 27 CNY.
For product teams, this is not a pricing complaint. It is a routing decision.
The old assumption: one model, one price
Most AI product teams picked one model and built around it. The token rate was a line item. When a new model arrived, you either switched or you did not. The decision was binary.
K3 breaks that assumption. K2.6 is still available and cheaper. K3 is more capable but 3.5x more expensive. Both come from the same provider, with the same API surface. The question is no longer "which model?" but "which model for which task?"
