A team compares inference engines for the same model. Which benchmark design best supports a production decision?

1. Measure one tiny request on one engine and long concurrent requests on the other.
2. Disable all error reporting and count failed requests as successful.
3. Use representative input lengths and concurrency while measuring latency, throughput, and quality.
4. Compare only the installation directory sizes.