Unverified50% confidenceFactExact time
General-purpose large models can cover multiple extraction tasks through prompts, but each call is costly and high-latency.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedEvery model invocation incurs a charge, and complex workflows may involve multiple rounds of calls, causing costs to accumulate rapidly at scale.79% similarUnverifiedHigher-capability models are typically accompanied by higher latency and call costs.78% similarUnverifiedLarge models have high inference costs, large response latency, and steep deployment barriers, making them unsuitable for all scenarios.78% similarUnverified将全量用户语句都交给大模型处理会同时导致延迟、成本、稳定性三大问题崩盘77% similarUnverifiedDeploying top-tier flagship models for simple tasks wastes computing resources and drives up the cost per task.77% similar
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