Opper benchmark flags LLM reasoning reliability gaps

This is less a gotcha and more a practical reliability test that shows why eval design matters more than raw benchmark bragging rights.

• –A task humans solved consistently still tripped many models, exposing a gap between benchmark performance and deployment readiness.
• –Reasoning-focused models led the pack, but uneven results across many popular models suggest model selection can materially affect product UX.
• –The takeaway for developers is to run scenario-based evals and add safeguards instead of trusting aggregate benchmark scores.