Farewell to Foreign AI: Users Shift to DeepSeek as Rational Cost-Efficiency Gains Momentum

Overview

Recently, as network services for several major foreign large language models in mainland China have been disrupted, a significant wave of migration has emerged among domestic users. Chinese AI platforms such as DeepSeek, with their exceptional cost-effectiveness and increasingly mature performance, have quickly filled the market vacuum. Users have shifted from initial emotional dependence to rational evaluation, discovering that for most practical work scenarios, domestic models can already provide stable and efficient solutions. "Cost reduction and efficiency improvement" is becoming the mainstream demand in current AI applications.

The Mindset Shift from "Emotional Dependence" to "Rational Practicality"

Many experienced AI users, after enduring the pain of overseas account bans, have begun to re-examine the degree of their reliance on artificial intelligence tools. Although Claude remains highly favored by some users for its human-like interaction experience and intelligent performance, its unstable service availability brings strong frustration, even evolving into an obsession similar to "emotional needs." In contrast, while Codex performs excellently in logical rigor and possesses powerful computer control capabilities, its cumbersome operational logic sometimes appears overly rigid. This comparison has led users to realize that binding core workflows to a single foreign brand carries enormous risk.

"Foreign large models are like a gun, but I don't have the need to kill anyone; I'm very happy playing with a water gun."

This metaphor vividly illustrates the shift in current user mindset: no longer blindly pursuing top-tier but inaccessible tools, but instead seeking high cost-performance substitutes that are sufficient to meet daily needs.

Full Competence of Domestic Models in Actual Workflows

After extensive trials of both domestic and foreign mainstream large models, users have found that domestic products excel in procedural tasks such as intelligence gathering, automatic video editing, and assisted data analysis. Tools represented by DeepSeek, Kimi, Doubao, and Workbuddy client version not only fully handle standardized, process-oriented business operations but also significantly reduce operational costs due to their price advantages.

In brainstorming sessions requiring high creativity, although there are gaps between different models, users can still obtain satisfactory results through parallel comparison across multiple models. Currently, most users have adjusted their working mode to establish standardized SOP processes, allowing multiple AI Agents to share local folders for seamless switching at any time. Under this model, as long as requirements are clear and processes are well-defined, domestic AI can not only meet these needs but also help users enhance efficiency and increase income through extremely low costs.

Conclusion

For the vast community of developers and knowledge workers, the essential value of AI lies in solving problems and improving output. When technological barriers are no longer an obstacle and rational choices return to the essence of tools, domestic large models have become the final destination for the majority of users, thanks to their comprehensive advantages in cost-effectiveness, local adaptation, and stability. This trend not only promotes the prosperity of China's AI ecosystem but also marks the industry's entry from "chasing trends" into a new stage of "pragmatic application."