Echo claims Fable-level output at a third the cost by routing across open weights.

A Show HN July 23 pitched task-adaptive routing over GLM-5.2, Kimi K2.7 and others, reporting parity with Claude Fable on its evaluated mix at roughly a third the inference cost. Commenters wanted the task mix and side-by-side outputs, not aggregates. Treat the numbers as unverified vendor benchmarks. The pattern is the part to track: routing as the cost lever now that open weights are close on quality.