TECH Signal 372
Price of AI intelligence drops 47% per quarter
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AI performance costs have fallen 47% each quarter, a 13-fold annual decline, making smarter models cheaper to run.
Engineers can deploy more capable models at lower cost, reshaping budgeting and architecture decisions. This rapid price drop changes how resources are allocated for inference and model selection.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
AI performance costs fell 47% each quarter over three years.
A 13-fold annual reduction makes intelligence dramatically cheaper.
Open-source models become viable as frontier models get cheaper to run.
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What the cluster adds up to.
The cost decline means that a given level of AI capability now requires far less spending on compute, allowing teams to achieve comparable results with smaller budgets.
Adopting newer models involves lower inference expenses, but engineers must still account for integration effort and potential model drift as performance improves faster than price reductions.
The trend undermines assumptions that high-performing models will remain expensive, forcing organizations to rethink scaling strategies and prioritize cost-effective solutions.
Written by elseif from the cluster below · checked for specifics the sources never containedTHE CLUSTER