Verified65% confidenceFactTime unknown
Increasing the number of parallel multi-agent instances will cause API call costs to grow linearly or even super-linearly.
3
Sources
65%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCalling a large model to analyze the diff for each PR incurs ongoing API call costs; the more frequent the PRs and the larger the diffs, the higher the cost.76% similarUnverifiedParallel execution by multiple Agents leads to significant cost increases and API rate-limiting issues, because each inference call consumes large-model API tokens.74% similarUnverified超长上下文窗口能力带来API成本上升和推理延迟增加的工程挑战71% similarUnverified推理时计算的扩展虽能提升单次输出质量，但成本以超线性方式增长，大规模部署往往难以经济可行71% similarUnverifiedThe computational cost of ultra-long context models grows non-linearly with context length.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/6082API
curl https://kongchang.com/api/v1/knowledge/claims/6082MCP
get_claim(id=6082)