Case study
LLM Provider Benchmarking
A price-vs-accuracy evaluation harness that routes production traffic to the right model for each task.
Problem
Picking models by reputation alone risks overpaying or shipping lower accuracy. Providers price and perform differently on domain-specific tasks.
The client needed hard numbers on their own workloads before committing production traffic and budget.
Solution
We built an evaluation harness that ran candidate models against labeled production test sets, measuring accuracy, latency, and cost per document.
Results produced an explicit price-vs-accuracy matrix across hosted and self-hosted models.
Outcomes
Clear price-accuracy matrix grounded in production data.
Expensive frontier models reserved for high-stakes tasks; cheaper or self-hosted models handle the rest.
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