AI Cost Optimization Router for Enterprise Workloads
C6/10April 18, 2026
WhatAn intelligent routing layer that automatically selects the cheapest model-version combination capable of completing each task, factoring in tokenizer efficiency, output quality, and real-world cost.
SignalDevelopers are realizing that newer model versions are not always better — some are more expensive due to tokenizer bloat while being subjectively dumber — and they want to stay on older, cheaper versions for specific tasks but have no systematic way to manage this.
Why NowThe gap between model versions in cost-per-quality is widening dramatically, with 4.7 costing 30-45% more in tokens while users report inconsistent quality improvements, making version-aware routing economically compelling for the first time.
MarketMid-to-large companies with $50K+/month LLM spend; TAM overlaps with the AI gateway market (~$5B); Martian and OpenRouter do basic routing but none optimize across versions of the same provider.
MoatProprietary quality-per-dollar benchmarks across model versions and task types create switching costs as customers tune routing policies to their workloads.
Anonymous request-token comparisons from Opus 4.6 and Opus 4.7View discussion ↗ · Article ↗ · 559 pts · April 18, 2026
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