Unverified50% confidenceFactExact time
The 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe computational cost of ultra-long context models grows non-linearly with context length.76% similarUnverified长程任务的Token消耗随步骤数呈近似二次方增长，而非线性增长72% similarUnverifiedThe longer the context, the more VRAM and computational overhead grow approximately quadratically with length.71% similarVerifiedIncreasing the number of parallel multi-agent instances will cause API call costs to grow linearly or even super-linearly.70% similarUnverifiedThe guard-Agent approach calls an additional LLM at every step, which increases overhead and latency jitter, and the guard Agent itself may be bypassed or make mistakes, forming a new attack surface.70% similar
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