Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.
高性价比主力通用模型，适合规模化生产环境。
复杂推理和工具链场景常用旗舰。
This is an internal OpenAI comparison, so the main question is tier, cost, context, and capability rather than provider switching.
On the listed price snapshot, GPT-5.4 Mini is cheaper on combined input and output, but real routing, discounts, and limits still matter.
GPT-5.4 Mini has the larger context window, which helps with long documents, knowledge bases, logs, and multi-turn workflows.
Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.
If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.
Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.
