CLM decides fast when the options stay the same
CLM reads the situation and each option separately and picks the closest one. It is fast when the options repeat, and weak when the sentence needs nuance.
Term
Cost-Management
Dissecting the typed-decision hype: Jev, Laya, or your own classifier
The tables make Jev and Laya winners on different slices. The choice depends on where labels are defined and how much labelled data already exists.
Laya has open weights. You own the operations
Laya is a non-autoregressive decision model under Apache 2.0. It trades the convenience of a hosted API for control over running, evaluating, and specializing the model.
Jev guarantees the shape, not the decision
Jev trades text generation for typed decisions with probabilities. The idea works when the answer space is closed, the question is narrow, and code stays in control.
GPT-5.6 Luna: the model that became my default in Codex
After nearly 10 billion tokens in Codex, why GPT-5.6 Luna became my default model: cost, performance, context, and limits.
Why Your AI Agent Is a Compulsive "Spender": The Truth About Token Consumption
Autonomous agents can turn a trivial task into a financial black hole because token consumption is massive, stochastic, and difficult to predict.