Kaizen.

Small routers, big models: the 2026 AI stack - 26/09/2026

September has been busy. New frontier releases keep pushing reasoning and coding further, open-weights models like Kimi K3 are close enough to the top that serving cost decides more than quality does, and a new class of small decision models like Jev is showing up on gateways.

Put those together and a pattern for production apps falls out.

Three layers

  1. A frontier model for the hard work. Planning, teaching, writing code. This is where quality pays for itself.
  2. A cheap model for the easy work. Follow-ups, short clarifications, formatting. Most traffic looks like this.
  3. A router between them. Something fast and typed that decides which of the two a request deserves, and whether extra work like a diagram is worth doing at all.

The router used to be a pile of if statements. Now it can be a model, which is both exciting and a trap: one more vendor, one more call per request, one more thing to fail at 2 a.m.

How to adopt it without regret

The models will keep changing every few weeks. The architecture around them (fallbacks, shadow logs, a harness that replays real traffic) is the part that compounds.