The Chinese artificial intelligence large model industry has reached a milestone. The "National Standards for the Series of Artificial Intelligence Large Models" was officially implemented recently. As the first national technical specification focusing on general large models in China, this series of standards systematically fills institutional gaps in performance evaluation, safety compliance, and service capabilities, marking a new stage in the development of large models in China, from "wild growth" to "scientific authority and unified standards."
Three Dimensions of Regulation: Comprehensive Coverage of Performance, Security, and Service
The standard system focuses on the entire lifecycle of large models, and for the first time clearly defines three core requirements:
- Performance indicators: covering quantifiable evaluation dimensions such as language understanding, generation quality, multimodal capabilities, and reasoning efficiency;
- Security requirements: mandatory regulations on content filtering, privacy protection, value alignment, and red team testing security mechanisms;
- Service capabilities: proposing tiered standards for response stability, context length support, and tool calling capabilities.
Authoritative Evaluation System Implemented, CNAS Officially Recognized
To support the implementation of the standards, the accompanying large model evaluation capabilities have been certified by the China National Accreditation Service for Conformity Assessment (CNAS), and possess national-level testing qualifications. This means that in the future, if enterprises' large model products are used in key areas such as government affairs, finance, and healthcare, they may need to pass this authoritative evaluation to be admitted, significantly increasing industry barriers and credibility.
Industry Impact: Ending "Self-Explanatory," Promoting High-Quality Development
For a long time, large model manufacturers have mostly relied on self-built rankings or marketing rhetoric to promote their capabilities, leading to frequent issues such as "inflated parameters," "safety concerns," and "difficulty in practical application." The implementation of the new national standards will effectively curb these problems and guide resources toward real, usable, safe, and scenario-adapted technologies.
Industry experts point out that this move not only benefits major companies such as Baidu, Alibaba, Tencent, Huawei, and iFLYTEK—whose technological accumulation and compliance capabilities are more likely to meet the standards—but also provides small and medium-sized enterprises with a clear development path, avoiding low-level repetitive competition.
AIbase Observation: Standards Equal Influence
Amid the intense global competition in large models, China has taken the lead in launching a national standard system, which is not only an upgrade in technical governance but also a strategic move to seize AI rule-making power. When "Chinese standards" become the "passport" for the deployment of large models, China is expected to take the initiative in the global AI governance framework and drive domestic large models from "scale leadership" to "rule leadership."
