China Releases National AI Terminal Intelligence Grading Standard: L1 to L4
China has taken another major step in AI governance. On May 8, 2026, the Ministry of Industry and Information Technology (MIIT) jointly released China’s first national standards for AI Terminal Intelligence Grading — a comprehensive framework that classifies the intelligence capabilities of consumer AI devices across four distinct levels, from L1 to L4.
What Is the AI Terminal Intelligence Grading Standard?
The new standard introduces a “2+N” architecture: a two-part base specification that defines the fundamental concepts, terminology, grading system, and testing methodologies for AI terminal intelligence, plus N supplementary technical specifications for different product categories.
An AI terminal is defined broadly — it covers any consumer hardware device capable of running artificial intelligence models or services, processing multimodal inputs, and delivering intelligent interactions. Think smartphones, laptops, smart glasses, car infotainment systems, smart speakers, and wireless earbuds.
The Four Levels of AI Terminal Intelligence
The grading framework defines four progressive levels. Each successive level represents a qualitative leap in how the device understands, reasons, and interacts:
| Level | Name | Description | Example Capability |
|---|---|---|---|
| L1 | Responsive | Passive query-response; single-turn interaction only | Answers “What’s the weather?” |
| L2 | Tool-level | Task-oriented; can execute multi-step workflows | Schedules a meeting across apps |
| L3 | Assistive | Context-aware; proactive suggestions based on user habits | Suggests leaving early for traffic |
| L4 | Collaborative | Autonomous decision-making; multi-agent coordination | Orchestrates complex life scenarios |
L1 — Responsive Intelligence
At this entry level, the AI terminal can understand and respond to direct user queries but lacks any contextual awareness. It handles single-turn interactions — you ask, it answers. Most first-generation smart speakers and basic voice assistants operate at this level.
L2 — Tool-level Intelligence
Devices at L2 can execute multi-step tasks by coordinating across applications and services. An L2 phone could “find the photos from last weekend, edit the best one, and share it to the group chat” — all from one natural language instruction. This requires the device to understand intent, break it into sub-tasks, and chain tool calls.
L3 — Assistive Intelligence
L3 introduces proactive intelligence. The device learns user behavior patterns, anticipates needs, and offers suggestions without explicit prompts. A smart car cockpit at L3 might suggest an earlier departure time after detecting traffic buildup on your usual route, or an L3 phone could pre-load your workout playlist as you enter the gym.
L4 — Collaborative Intelligence
The highest tier — still being refined for future revisions of the standard — envisions AI terminals that act as true collaborative partners. An L4 device would autonomously coordinate across multiple agents and services to handle complex, open-ended scenarios: negotiating schedules, managing smart home energy optimization across providers, or orchestrating a medical appointment with transportation and calendar integration — all with minimal human intervention.
Note: The L4 standard is yet to be fully defined. MIIT plans to refine L4 criteria in subsequent revisions based on industry feedback and technological maturity.
First Batch: 7 Product Categories Covered
The initial release of the standard covers seven major consumer electronics categories, making it one of the most comprehensive AI device frameworks ever proposed:
- Smartphones — the primary AI terminal for most consumers
- Personal Computers — AI PCs with NPU-powered local inference
- Televisions — smart TVs with AI upscaling, voice control, and content recommendation
- Smart Glasses — AR/VR/MR headsets with AI-powered spatial computing
- Car Cockpits — intelligent in-vehicle systems for navigation, entertainment, and safety
- Smart Speakers — voice-first AI hubs for home automation
- Wireless Earphones — AI-powered audio devices with real-time translation, noise cancellation, and health sensing
This breadth reflects China’s unique position as the world’s largest consumer electronics market and manufacturing hub. By covering everything from phones to earphones, the standard creates a unified evaluation framework that spans the entire smart device ecosystem.
Who Wrote the Standards?
The drafting committee includes China’s most prominent consumer tech companies and research institutions. The major drafting units include:
- Xiaomi — leading smartphone and IoT ecosystem player
- Huawei — with its HarmonyOS AI capabilities and Ascend computing platform
- Honor — spun off from Huawei, now an independent smartphone brand
Additional participants reportedly include OPPO, vivo, Alibaba, Baidu, iFlytek, and multiple universities under MIIT. The broad industry participation signals that compliance with these standards will likely become a market expectation rather than a regulatory checkbox.
Why This Matters
A Unified Evaluation Framework
Before this standard, every manufacturer defined “AI phone” or “smart speaker” intelligence on their own terms. Xiaomi’s “AI capability score” meant something different from Huawei’s. The new grading system creates a common language for consumers, developers, and regulators to evaluate and compare AI capabilities across devices and brands.
Parallels to Autonomous Driving
The L1-L4 structure deliberately echoes the SAE J3016 levels (L0-L5) for autonomous driving, which became the global standard for describing vehicle automation. China appears to be pursuing a similar trajectory — define unified grades early, and they become the reference frame for an entire industry.
China’s AI Standards Leadership
This is not China’s first AI standardization effort. Earlier in 2026, China released national AI safety governance frameworks, and in 2025 published generative AI service guidelines that influenced global regulatory discussions. The terminal intelligence standard extends this pattern — China is systematically building the regulatory and standards infrastructure for an AI-powered economy.
Market Impact
With over 1.7 billion smartphone users and the world’s largest smart device manufacturing base, China’s domestic standards often become de facto global benchmarks. Device manufacturers worldwide — from Samsung to Apple — will need to understand these grading levels, as they will shape product positioning in the Chinese market and potentially influence international standards via organizations like the ITU and ISO.
What’s Next?
MIIT has indicated that the L4 criteria will be refined in future revisions, with the first update expected within 12-18 months based on industry implementation feedback. Additional product categories — such as robots, drones, and wearable health devices — are candidates for future coverage expansions.
Testing and certification infrastructure is also being developed. Third-party laboratories and industry consortia are expected to begin offering AI terminal grade certifications later in 2026.
The Bigger Picture
China’s AI terminal intelligence grading standard represents more than a technical document — it is a strategic positioning move. Just as the SAE autonomy levels shaped global conversations about self-driving cars, this framework aims to structure how the world thinks about, builds, and evaluates intelligent devices.
For developers, product managers, and anyone building AI-powered consumer hardware, these four letters — L1, L2, L3, L4 — will increasingly define product roadmaps and market expectations across the world’s largest consumer electronics market.