Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.
面向低成本高并发任务的入门位，适合分类、抽取和轻量子代理。
高质量写作与复杂分析强项，适合企业内容与知识场景。
This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.
On the listed price snapshot, GPT-5.4 Nano is cheaper on combined input and output, but real routing, discounts, and limits still matter.
Claude Sonnet 4.6 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.
