[P] QORE - a normalized pricing unit (NTU) of cross provider AI comparison and routing

Reddit r/MachineLearning / 3/16/2026

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Key Points

QORE proposes a normalized pricing unit (NTU) to standardize AI usage across providers and modalities, enabling unified pricing, routing, and auditing.
It aims to eliminate token-system incompatibilities by offering a universal API wallet and cross-provider price simulation (example command: qore usage simulate --provider openai --model gpt-4o --input-tokens 1000 --output-tokens 500).
The toolset includes commands such as pip install qore, qore price list, qore usage simulate, and qore health, along with silent model substitution detection for auditing.
The project emphasizes cross-provider interoperability and auditable usage across AI services to simplify comparisons and routing.
The repository is hosted at github.com/isaiadev347/qore-site and referenced via a Reddit MachineLearning post.

One unit across every provider and modality. Price, route, and audit

AI calls without converting between incompatible token systems.

pip install qore

$ qore price list

$ qore usage simulate --provider openai --model gpt-4o --input-tokens 1000 --output-tokens 500

$ qore health

Silent model substitution detection built in.

Universal API wallet.

github.com/isaiadev347/qore-site

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