Card #3184 · OpenAI Platform & APIs
Performance and reliability issues when migrating to GPT-5 series models
Merchants are experiencing significant latency issues with GPT-5 reasoning models in latency-sensitive chatbot workloads. Additionally, there are reports of decreased reliability in production customer service scenarios, specifically regarding context retention and instruction following when using mini versions.
Pain score
0.15/ 1.00 · weighted product of four components
Reach0.32distinct authors (log-normalized)
Recency1.00freshness decay, half-life months
Engagement1.00upvotes + comments, normalized
Monetization0.50willingness-to-pay cues in evidence
§ Evidence — 3 verified quotes
Gpt-5 series models have serious latency issues since they are reasoning models, and we do not need so much of reasoning.
gpt-5.4-mini loses context more easily , does not always respect the prompt rules, and sometimes applies or ignores instructions inconsistently.
in my customer service chatbot scenarios, where prompt-following, context retention, business rules, and tool execution decisions are very important, the results have been significantly worse than with gpt-5.1.
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