Unverified50% confidenceFactExact time
Token efficiency optimization mostly happens at the serving layer and the invocation chain layer and does not change the model weights themselves, so it can reduce costs without sacrificing model capability; this is different from model compression (quantization, distillation, pruning).
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11/2/2026
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Unverified模型分层路由策略能在不牺牲Agent整体能力的前提下，将Token成本降低50%-70%75% similarUnverifiedToken compression strategies involve a trade-off between information loss and cost savings when reducing costs.72% similarUnverifiedToken efficiency refers to the ratio between the total number of tokens a model consumes to complete a specific task and the output quality; under the token-based billing model, it directly determines usage cost.69% similarVerifiedEnterprises adopting model routing and cascading strategies can reduce overall costs by 60–80% while maintaining user experience.69% similar
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