The model seems better at logic, but something is off. It is repetitive of the user prompt, gets hooked on logical meaning vs contextual (per provided conversation), and is too concise as if it needs to provide a direct answer. Perhaps all good for a benchmark, code, or simple logic flows/chains (e.g. ai validation - which gpt-3.5 is good at as well). But it's not desirable for advanced/creative content generation.
My anecdotal receipt: None of the 15 functions we run in prod are switching to the 50% off model as product quality is degraded with gpt-4o.