Unverified50% confidenceSolutionExact time
When deploying deep research agents, costs can be optimized by routing simple tasks to lower-cost models through a model routing strategy.
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedIn deep research scenarios, lightweight low-cost models can handle simple query rewriting and relevance pre-screening, while high-capability reasoning models handle complex information synthesis and report writing, to balance quality and cost.83% similarUnverifiedWhen deploying deep research agents, it is necessary to set reasonable loop limits and concurrency strategies to control token consumption costs.80% similarUnverified研究阶段应使用 Deep Research 等动态多智能体工作流,用廉价模型收集信息,再交给 Opus 5 制定计划80% similarUnverifiedDeepAgent is built on LangGraph at its foundation, representing a paradigm in which task planning is entirely delegated to the large model for autonomous completion.74% similarUnverifiedModels such as DeepSeek-R1 are viewed by some researchers as achieving a "dimensional breakthrough" through algorithmic innovation under compute-constrained conditions, approaching the international frontier in parameter efficiency and reasoning capability.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/590147API
curl https://kongchang.com/api/v1/knowledge/claims/590147MCP
get_claim(id=590147)