TechFlow reported on June 16, citing PR Newswire, that Ornn AI has announced the launch of the Ornn Token Price Index, or OTPI. The new index is designed to measure the real cost of output tokens from artificial intelligence model developers including OpenAI and Anthropic. It presents the data as a daily metric denominated in U.S. dollars per one million tokens, creating a standardized way to observe output-side model costs.
Weighted by executed token transaction volume
According to Ornn AI, OTPI is calculated by weighting the executed token transaction volume of each model. The index is intended to reflect how actual costs are affected by model usage structure, the balance between input and output tokens, and caching. Rather than focusing only on a single listed price, OTPI organizes cost data around the prices formed through actual token transactions and model usage.
The index uses “dollars per million tokens” as its measurement unit and is published as a daily indicator. This format allows the output token costs of different models and usage patterns to be compared on the same basis. Since input-output proportions and caching can change the final cost of using AI models, Ornn AI’s methodology places those factors inside the cost observation framework.
Initial coverage includes OpenAI and Anthropic
OTPI initially covers OpenAI and Anthropic and is now available to subscribers of the Ornn data platform. Ornn said OTPI and its existing Ornn Compute Price Index, or OCPI, correspond to different parts of the artificial intelligence cost curve. OTPI tracks the output side, while OCPI corresponds to the input side of the cost curve.
Ornn AI stated that OTPI can provide investors and enterprises with a more transparent cost observation indicator. For users following the cost structure of AI models, the daily, volume-weighted OTPI offers a standardized reference for the output token pricing of model developers such as OpenAI and Anthropic.