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Baidu launch new AI model ‘Ernie 5.0’

modules for different types of data, ERNIE 5.0 was jointly trained on text, images, audio, and video within a single unified autoregressive framework.

Key Technical Specifications

  • Model Size: 2.4 Trillion parameters, making it one of the largest dense-MoE (Mixture of Experts) models globally.
  • Architecture: Utilizes an ultra-large-scale sparse MoE structure. Despite its massive size, only 3% of its parameters are activated during any single query, significantly improving inference speed and cost-efficiency.
  • Performance: In recent LMArena (LMSYS) rankings from January 15, 2026, the ERNIE-5.0-0110 variant scored 1,460 points, ranking 1st among Chinese models and 8th globally.
  • Global Standing: It has reportedly surpassed the performance of GPT-5.1 (High) and Gemini 2.5 Pro in several benchmarks, particularly in creative writing and mathematical reasoning.

Strategic Breakthroughs in 2026

Baidu highlighted several areas where ERNIE 5.0 outperforms its predecessors and competitors:

CategoryCapability Upgrade
Multimodal ReasoningCan decompose logic from a short video (e.g., an App tutorial) and directly generate runnable code.
MathematicsRanked 2nd globally on LMArena’s math leaderboard, trailing only GPT-5.2 (High).
Cultural FluencyDemonstrated “state-of-the-art” Chinese creative writing, including the ability to simulate complex classical literary styles like Dream of the Red Chamber.
Enterprise IntegrationFully integrated with Baidu’s Qianfan MaaS platform, allowing for rapid deployment on Baidu’s custom Kunlun AI chips.

The Hardware Synergy: Kunlun & PaddlePaddle

A major factor in ERNIE 5.0’s rapid development is Baidu’s vertical integration:

  • Kunlun M100: Baidu’s new inference-focused chip (set for full release in early 2026) is the primary engine powering the model’s low-latency responses.
  • PaddlePaddle: The model was trained using the latest v3.0 of Baidu’s open-source deep learning framework, which is specifically optimized for 2-trillion+ parameter scale operations.

The Global AI Landscape

The launch of ERNIE 5.0 is seen as a geopolitical signal that the gap between U.S. and Chinese AI is narrowing. While Google DeepMind CEO Demis Hassabis noted at Davos that Chinese models might still be “six months behind” in creative innovation, ERNIE 5.0’s performance on neutral leaderboards like LMArena suggests that for practical enterprise and reasoning tasks, Baidu has achieved parity with Western leaders.

Conclusion: Data Sovereignty

For Baidu, ERNIE 5.0 is the center of an ecosystem that now includes over 200 million monthly active users. By offering a model that understands the Chinese linguistic and regulatory context better than any Western rival—while matching them in raw logic—Baidu is cementing its role as the backbone of China’s AI economy in 2026.

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