Who Wins the 10‑Million‑Token AI Race? Inside Tencent‑Anthropic Showdown and Global AI Trends

1. Tencent Hunyuan 4.0 vs. Anthropic Claude 4 – 10 Million‑Token Context Showdown

Key premise: Both models launched on the same day, targeting ultra‑long context and multi‑agent collaboration, creating a direct China‑US AI rivalry.

Core parameters comparison:

Context window: 10 million tokens for both.

Multi‑agent: Hunyuan 4.0 provides 10 cooperating agents; Claude 4 offers 5 specialized agents.

Code ability: Hunyuan emphasizes full‑stack development; Claude 4 prioritizes security‑first code review.

Pricing (input): Hunyuan 0.4 CNY per million tokens; Claude 4 $0.015 per thousand tokens (~0.11 CNY).

Pricing (output): Hunyuan 1.6 CNY per million tokens; Claude 4 $0.06 per thousand tokens (~0.44 CNY).

Ecosystem: Hunyuan integrates with WeChat, Enterprise WeChat, and Tencent Cloud; Claude 4 relies on independent API and AWS.

Open‑source: Hunyuan is partially open‑source; Claude 4 is closed‑source.

Measured performance:

Long‑document handling: Both can ingest the entire novel "Dream of the Red Chamber" (~1 million characters) and generate a character‑relationship graph.

Code generation: Hunyuan 4.0 outperforms Claude 4 in Chinese programming scenarios; Claude 4 leads in security audit tasks.

Multi‑agent collaboration: Hunyuan’s 10 agents process complex projects in parallel, while Claude 4’s 5 agents offer finer‑grained division of labor.

Market reaction: Enterprise customers adopt a "dual‑access" strategy, switching between the two APIs according to workload requirements.

2. Alibaba Tongyi Qianwen 3.0 – Multimodal Upgrade

Alibaba released Tongyi Qianwen 3.0, emphasizing multimodal understanding and industry‑specific applications, positioning it alongside Baidu Wenxin 5.0 and Tencent Hunyuan 4.0.

Key upgrades (2.5 → 3.0):

Video understanding: from 10 min to 30 min processing time (+200%).

Image generation resolution: 2048×2048 → 4096×4096 (doubling).

Text‑to‑video: unsupported → 10‑second generation (new capability).

Industry models: generic → finance, retail, manufacturing, logistics (vertical deepening).

Code ability: 100+ languages → full‑stack automation (qualitative leap).

Pricing: Input 0.3 CNY per million tokens (on par with DeepSeek V4); Output 1.2 CNY per million tokens; industry‑specific versions start at 50 k CNY per year.

Ecosystem integration: Tight coupling with DingTalk, Taobao, Cainiao, and Alibaba Cloud enables one‑click enterprise onboarding.

3. US AI Giants Tighten Access Restrictions

OpenAI, Anthropic, and Google simultaneously expanded blocking measures, preventing Chinese developers from accessing APIs via AWS, Azure, or other cloud relays.

New restrictions:

IP detection expanded from mainland China to Hong Kong, Singapore, and other “jump‑point” regions.

Payment verification now requires proof of company registration location.

Behavior analysis adds a "digital fingerprint" tracking layer.

Cloud services must cooperate with IP traceability requests.

Impact assessment:

≈100 000 developers forced to migrate away from US‑hosted APIs.

Domestic alternatives (DeepSeek, Hunyuan, Tongyi) see a 50 % usage boost.

Accelerates a parallel US‑China AI ecosystem.

China’s Ministry of Industry and Information Technology pledged stronger domestic AI ecosystem support to smooth the transition.

4. Elon Musk’s xAI Announces "AI University"

Musk unveiled a five‑year plan to train 100 000 AI engineers through a free, hands‑on curriculum.

Program phases:

Foundational courses (6 months): mathematics, programming, machine learning → junior AI engineer output.

Practical training (12 months): participation in Grok development and data‑center operations → mid‑level AI engineer.

Innovation projects (18 months): lead AI projects, publish papers → senior AI engineer or entrepreneur.

Funding: $2 billion from xAI plus $1 billion from Saudi Arabia’s PIF. The program is fully tuition‑free, covers living expenses, and admits 1 000 students globally (100 from China, subject to political clearance).

5. Meta Llama 4 Chinese Community Explosion

Meta and Zhipu AI’s Llama 4 Chinese Edition, released two weeks ago, has spurred over 3 000 Chinese‑language GitHub projects, surpassing the English community in activity.

Top projects (stars):

Llama‑4‑Chinese‑Chat – 8.5k stars – optimized Chinese dialogue.

Llama‑4‑Code‑Assistant – 6.2k stars – Chinese programming helper.

Llama‑4‑Medical – 4.8k stars – Traditional Chinese medicine diagnosis aid.

Llama‑4‑Law – 3.5k stars – Chinese legal Q&A.

Llama‑4‑Education – 2.9k stars – K‑12 tutoring.

Meta deepens cooperation with Zhipu, establishing a "Llama Chinese Foundation" with $50 million annual investment, a 30/70 revenue split (Meta/Zhipu), and a goal to become the leading Chinese AI open‑source hub.

6. Google Gemini 2.5 Pro Hits 20 Million Daily Active Users

Within two weeks of launch, Gemini 2.5 Pro reaches 20 million daily active users, 40 % of whom are Chinese developers accessing the service via VPN.

Growth drivers (share of increase):

US API blockage overflow – 45 % (GPT‑4o, Claude unavailable).

Free quota attraction – 30 % (100 free calls per day).

Multimodal superiority – 20 % (video understanding lead).

Chinese optimization – 5 % (localized support, payment ease).

Challenges: political scrutiny in the US Congress and potential tighter export controls; internal evaluation of a "Gemini China" version pending dual‑regulatory approval.

7. Huawei Ascend 910D Chip Delivery and Benchmarks

Huawei announced the first batch of 300 000 Ascend 910D chips, with customers reporting performance surpassing Nvidia H200.

Benchmark highlights:

FP16 compute: 1200 TFLOPS vs. 1000 TFLOPS (‑20 %).

Memory bandwidth: 4 TB/s vs. 3.35 TB/s (+19 %).

Power consumption: 400 W vs. 700 W (‑75 % power‑to‑performance).

Price: 12 k CNY vs. 25 k CNY (‑52 %).

ResNet‑50 training: 12 min vs. 15 min (‑20 %).

Customer feedback cites a 25 % training efficiency gain for Tencent, a 30 % speed boost for Baidu’s Wenxin 6.0, and a full migration of Alibaba’s Tongyi 3.0 training clusters to Ascend 910D.

8. Chinese AI Industry Trends and Regulation

Key data points:

WIPO reports 300 k AI patent applications in Q1 2026; China accounts for 50 % (150 k).

Patent type distribution: 55 % large‑model architecture (Baidu, Alibaba, Tencent, Huawei), 48 % multimodal (ByteDance, SenseTime, Zhipu), 60 % AI chip design (Huawei, Cambricon, HaiGuang, Moore Threads).

China’s AI patents receive 38 % of global citations, closing the gap with the US (42 %).

Gartner predicts AI agents will replace 25 % of knowledge work by end‑2026, with specific roles (customer service, data analysis, content moderation) slated for automation in 2026‑2027.

New AI‑related jobs projected: AI trainers (+1 M), agent‑ops engineers (+700 k), AI ethics reviewers (+300 k).

Policy recommendation: companies should launch immediate AI‑skill training programs to avoid talent shortages.

9. Sino‑US AI Dialogue Resumes

China’s Vice‑Minister of Commerce visited the US to restart high‑level AI talks, the first since 2025.

Discussion topics:

China seeks removal of API access restrictions; the US worries about model “distillation”.

Both sides consider easing chip export controls while ensuring Chinese AI is not militarized.

Data‑cross‑border flow and IP protection are mutual concerns.

Agreement to form an "AI Technology Working Group" meeting quarterly.

Market impact: AI‑related stocks in both countries rose, with Baidu, Alibaba, and Tencent gaining 5‑8 % on US exchanges, Nvidia up 3 %.