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Written by - Millan Kaul

The model everyone calls “best” lost my tiny test today.

Image showing compare your LLM responses
Stop asking which model is best. Ask: best for what?

What I did today:

I ran two models against the same five examples. I scored basic task completion, response length, and whether the output followed instructions.

What surprised me:

The cheaper model did better on the exact workflow I cared about.

My QA takeaway:

  1. There is no universally best model—only the best model for a defined job.
  2. Stop asking which model is best. Ask: best for what?

What would your model comparison score besides accuracy?

#AIEngineering #AIEvals #LLMOps