Unverified50% confidenceTradeoffExact time
Computationally intensive Deep Research is the feature most susceptible to cost pressures, giving service providers an incentive to reduce search iteration rounds, shorten reading depth, or substitute a smaller model for the flagship model.
1
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50%
Confidence
Long-term
Relevance
9/4/2026
First Seen
Sources
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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.77% similarUnverifiedWhen deploying deep research agents, it is necessary to set reasonable loop limits and concurrency strategies to control token consumption costs.74% similarUnverifiedThe Deep Research feature decomposes a single user query into multi-step autonomous research tasks, invokes tools such as web search and document analysis, and uses large language model reasoning to synthesize and output a structured report.71% similarPartially VerifiedDomestic large models such as Qianwen and DeepSeek have pushed efficiency and cost-effectiveness to the extreme under constrained computing resources.70% similarUnverifiedFor complex tasks, DeepSeek's token costs may actually be higher, because more manual intervention, more conversation rounds, and more corrective modifications are required, and it cannot query the internet.70% similar
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