Expired65% confidenceOpinionExact time
Domestic large models such as Qianwen and DeepSeek have pushed efficiency and cost-effectiveness to the extreme under constrained computing resources.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/6/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/4/2026(expired)
Sources
Vibe Coding是什么？大模型+Agent+工作流三层架构全解析
bilibiliAI大模型元元7/4/2026
Related Claims
UnverifiedDeepSeek replicated top-tier model performance at extremely low compute costs.79% similarUnverifiedDeepSeek minimal mode paired with Max tends to elicit the model's strongest reasoning capabilities, at the cost of longer response latency and higher token consumption.78% 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.75% similarUnverifiedDeepSeek, with its efficient inference via MoE architecture, and Qwen, with its complete model size matrix and permissive commercial licensing, form the domestically developed open-source camp.75% similar
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