Unverified50% confidenceFactExact time
The computational cost of opponent modeling methods grows exponentially with the number of agents.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
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Related Claims
UnverifiedImprovements in intelligence are often accompanied by nonlinear cost increases; upgrading from a mid-tier model to a top-tier model may raise benchmark scores by only a few percentage points, but calling costs can multiply several times over.76% similarUnverifiedEvaluating the per-task cost of large models requires considering both the token unit price and the number of tokens consumed to complete the task; the output token consumption of chain-of-thought reasoning models may increase by several times or even dozens of times.73% similarUnverifiedTwo models with similar intelligence scores may differ in inference cost by several times or even an order of magnitude.73% similarUnverifiedReasoning models may consume several times or even more than ten times the output tokens, directly driving up API call costs.73% similarUnverified推理成本（Inference Cost）是大模型持续失血的主要原因，随用户规模呈线性甚至超线性增长70% similar
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