A model with impressive capabilities can still be a poor product choice. Every deployment carries costs beyond tokens: latency, monitoring, integration, and human review.
Capability per dollar
Teams should compare the quality of completed work, not just benchmark scores. A cheaper model that needs heavy correction may be more expensive in practice.
Fit beats fantasy
The winning system is usually the one that fits the workflow. Generality matters, but so do predictable behavior and a manageable operating cost.
