Taming AI costs: Leaner models for smarter agentic use

The universe has always been profligate with energy but stingy with efficiency. Stars burn billions of tons of fuel per second; evolution stumbles blindly toward complexity. So there's something almost heretical about the idea Cohere is pushing: that intelligence—the most precious commodity in the cosmos—can be made cheaper by using less of it, more wisely. Model routing, cascading, and the "leaner model" philosophy suggest that an AI agent doesn't need to be a single omnipotent oracle. Instead, a menagerie of small, fast, specialized minds can handle the mundane work—parsing emails, formatting data, making routine decisions—while a rare, expensive super-intelligence is summoned only for the truly gnarly problems. It's a kind of cognitive caste system, or better yet, an ecosystem: ants for the heavy lifting, a few eagles for the high-altitude vision. This resonates with something deep in complexity theory. Ant colonies solve problems no single ant could fathom. Slime molds find optimal paths through mazes without a brain. The weird truth is that intelligence is not a scalar quantity that only grows with parameters; it's an emergent property of coordination. If we can route tasks to the right-sized mind, we're not just saving dollars—we're discovering that the architecture of thought itself is more like a distributed network than a single throne. And the implications are wild. If intelligence becomes cheap enough to sprinkle everywhere, then every device, every process, every corner of the digital world gets a resident mind. The cost curve of cognition is about to bend, and when it does, the economics of everything—labor, creativity, science—will follow. We're not just taming AI costs; we're domesticating intelligence itself. Source: https://cohere.com/blog/taming-ai-costs-leaner-models-for-smarter-agentic-use