Great points. That’s a fair point. These results show how the models performed under the tested conditions; they don’t establish how they’ll perform in a particular production environment. Hypothetical, complex tasks let us control the evidence and verify answers, but I agree they don’t capture the full variability or domain specificity of real enterprise workloads.

Real-world data, longer conversations, tool use, and noisy inputs could change both the model rankings and the cost and latency differences. A larger, more diverse evaluation would help determine which findings hold up. Again, this is designed as a fairly simple demonstration that introduces core concepts.

The main takeaway is the evaluation method: define your acceptance criteria, test representative workloads, and compare the configurations that meet those requirements. These results are a starting point for that process, not a substitute for production-specific validation.