You Benchmarked the Model. Now Benchmark the Server.

You picked a free model because the answers looked good. Good answers are not an endpoint. An endpoint is the model plus the server plus the network. Demos pass. Pipelines stall. The model was rarely the problem.

So why do we keep benchmarking only the model? Because it is easy. You paste a prompt. You read the output. You declare a winner. The server never gets a vote.

This post is a reproducible benchmark. It measures the pair, not the model. Run it before you wire any free endpoint into CI.

The Pair, Not the Model

Most evaluations compare answers. You paste a prompt. You judge the output. You pick a winner. That measures the model. It ignores the server.

You Benchmarked the Model. Now Benchmark the Server.

Related reading

Selection pressure turns benchmarks into fingerprints

When your benchmark is wrong and your model is right

On benchmarking — PlanetScale

A benchmark is only as good as the model you use to grade it

Your model benchmark measures everything except the bill

We built a benchmark, then caught it strangling the models it was grading