Why a market, not a price list
Inference cost varies wildly across providers. A live auction finds the real clearing price; a posted price list cannot.
The marginal cost of serving one more request is wildly different from one provider to the next. Hardware generation, serving efficiency, GPU utilization at this minute, prefix-cache hit rates, and local energy prices all move it. Yet almost every LLM router charges from a static price list: one number per model, updated whenever someone remembers.
A price list has to be set high enough to be safe for the seller at their worst hour. That gap between posted price and actual marginal cost is pure overcharge, and it lands on you. A live market removes the gap: providers re-quote every couple of seconds as their machines fill and drain, and each request clears at the price competition actually supports at that moment.
Why an auction, specifically
Competition only lowers prices when asks are executable and the clearing rule is legible. Omnious clears second-score: with a genuine independent rival, that rival sets the score tie-point. The result is bounded against the cheapest independent alternative by the selected routing profile: Value +0%, Balanced +15%, Coding +15%, Reasoning +20%, Frontier +25%, and Speed +30%. The bound is checked again on metered actual usage, and an ask that cannot fit it cannot win. Receipts disclose the profile, cap, and price setter. Omnious does not claim a global dominant strategy across every clearing regime. The mechanics live in Second-score clearing.
What the target looks like
The design goal is best-execution economics: 20 to 40 percent savings against posted-price routing for equivalent quality, achieved by routing to whoever is genuinely cheapest right now rather than to whoever markets best. The savings are not a promise; they are measured. Every receipt includes the full counterfactual (what each rival quote would have charged for the same request), and your running savings versus posted prices surface as the Price Advantage Index in Receipts & analytics.