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Developer benchmarks what a correct AI answer actually costs

Original: Your AI Agent Has a Burn Rate — So I Benchmarked the Cost of a Correct Answer # kagglechallenge # ai # llm # opensource

A developer has published a benchmark measuring the cost of AI agents producing correct answers, arguing every agent query carries a real 'burn rate' in tokens and money. The piece, tied to Kaggle challenge work and open-source LLM tooling, compares how much spending is needed before an agent gets the right result. The takeaway: accuracy alone is not enough, and cost-per-correct-answer is emerging as a key metric for judging AI agents.

Why now: As companies scale AI agents in production, the running cost of getting reliable answers has become a pressing practical concern.

KaggleLLMsopen-source AI agents

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