Tokenometer Earns a 80 Proof of Usefulness Score by Benchmarking the Real Dollar Cost of LLM Prompts

Tokenometer Earns a 80 Proof of Usefulness Score by Benchmarking the Real Dollar Cost of LLM Prompts

This interview explores Tokenometer, an open-source tool designed to benchmark real-world LLM costs and latency across providers like Claude, GPT-4o, Gemini, Mistral, and Cohere. Positioned as a CI-style guardrail for prompt engineering, the project focuses on exposing tokenization inaccuracies, detecting prompt regressions before deployment, and helping AI teams treat prompt cost as a measurable engineering metric rather than an unpredictable invoice surprise.

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