Unverified50% confidencePredictionExact time
The cost curve grows with the number of Agent interactions, not with the number of distinct questions, and the two differ by an order of magnitude or more.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedThe token cost of LLMs grows roughly linearly with context length, while the number of calls increases with the number of Agents; multiplying the two leads to non-linear inflation.77% similarUnverifiedWhen multiple agents call each other, trigger recursively, and retry in loops, token consumption can grow exponentially, leading to runaway costs.77% similarUnverifiedIn multi-agent architectures, the choice between serial and parallel invocation simultaneously affects both cost and latency metrics.77% similarUnverifiedThe cost curve of advisor pairing is often steeper and less predictable than simply switching to a larger model.75% similarUnverifiedIn multi-Agent scenarios, an increase in the number of Agents makes tokens grow combinatorially, and because requests are highly asynchronous and vary in length, GPU utilization is often lower than in batch inference, further raising the actual compute cost per task.75% similar
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