Unverified90% confidenceFactTime unknown
One API 通过「倍率」机制将不同厂商的计费单位归一化,为每个模型设定相对于基准模型的价格倍率
1
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedConverting flagship models to usage-based billing can guide users to adopt different models in tiers, optimizing the overall efficiency of compute allocation.73% similarUnverifiedMainstream LLMs charge for tokens in two categories—input tokens and output tokens—and the longer the context, the higher the cost per call.65% similarUnverifiedLLM成本优化体系可分为模型层、提示层、推理层、流量层,语义缓存属于流量层优化65% similarUnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.64% similarUnverified推理模型的中间思维链步骤在计费层面同样计入token消耗,OpenAI的o1模型思考token有时高达正常输出的数倍64% similar
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