工单分类和提取等边界清楚的任务可能受益，关键指标是每个合格结果的成本，而非单个token的便宜程度。

Clearly bounded tasks such as classification and extraction may benefit; the key metric is cost per acceptable result, rather than how cheap an individual token is.

低标价可能鼓励更多使用，但新分词、思考投入、工具执行和返工会改变实际账单，不能直接外推收入。

Lower list prices may encourage use, but tokenization, reasoning effort, tool execution and rework change actual bills; revenue cannot be extrapolated directly.

固定任务组显示正确率和完成率满足要求，且总成本低于原方案。

A fixed task set must meet accuracy and completion requirements at a lower total cost than the prior approach.

迁移参数、浏览器权限和工具隔离能稳定工作。

Migrated parameters, browser permissions and tool isolation must work reliably.

更多token或人工返工抵消低标价；长提示的计费差异被平均数掩盖。

Additional tokens or human rework may offset lower list prices; averages may hide long-prompt pricing differences.

SDK测试阶段和未配置的网址检查可能使实际部署成本高于模型调用费。

Beta SDK features and unconfigured URL checks may make deployment costs exceed model-call fees.

任务正确率、重试率、拒答率、延迟及完整账单。

Task accuracy, retries, refusals, latency and the full bill.

短提示与长提示分别比较，并记录人工修正量。

Separate comparisons of short and long prompts, including human correction effort.