$0.02 – $25.00
Per million tokens, frontier to floor
The opportunity
The AI economy runs on a number nobody owns.
Training built the headlines. Inference runs the business. Every chatbot answer, every agent loop, every generated image is metered compute, and the meter is now the largest variable cost in artificial intelligence. Token prices span a 250-fold range. Identical GPUs rent at sixfold spreads. The same open-weight model costs nine times more from one provider than another.
InferenceBenchmarks.com names the missing instrument: the independent benchmark for what AI actually costs to run — price per million tokens, throughput per dollar, latency under load, across every serious provider. It is the obvious home for the leaderboard the industry already checks daily, published under the name that describes it exactly.
“The winners of the inference cost wars won't have the best model. They'll have the best cost model.”
Where inference lives
Why this name wins
Exact-match authority. “Inference benchmarks” is the phrase engineers, CFOs, and procurement teams already use. This domain owns the query at the root — no explanation, no translation, no brand-building tax.
A proven business model. Independent measurement is a durable franchise: the firms that publish trusted benchmarks become the industry's reference screen, cited in every vendor deck and every buying decision.
Strategic scarcity. GPU clouds, model marketplaces, and AI labs all compete on price/performance claims. Whoever owns the neutral measuring stick owns the argument.
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Spread between cheapest and priciest frontier tokens
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H100 rental spread for identical silicon
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Available once, exclusively
