China Mobile Debuts Jiutian 3.0 AI Model with Major Performance Gains

At the 2025 World Artificial Intelligence Conference, China Mobile unveiled its Jiutian Foundation Large Model 3.0, marking a significant milestone in AI industrialization. The model builds on its predecessors with enhanced security, controllability, and domestic production capabilities.

Jiutian Zhongqing Language Model: Architecture and Performance Breakthroughs

The Jiutian Zhongqing Language Large Model adopts a MoE architecture, scaling to trillions of parameters. With 15T tokens of pre-training data and a hierarchical post-training framework, it improves complex reasoning by 35%. Key achievements include:

• GPQA-Diamond: Scored 77.67, ranking second globally.
• ArenaHard V1.0: Scored 67.2, topping global rankings.
• BFCL V3: Achieved 68, showcasing robust performance.

The model also addresses hallucinations in professional scenarios, ensuring precise outputs.

Specialized Models for Code and Math

China Mobile introduced specialized models:

• Jiutian Code Large Model: Supports 10+ programming languages, excelling in code generation tasks.
• Jiutian Mathematics Large Model: Outperforms competitors like Qwen2.5Math and DeepSeek Math in SOTA benchmarks.

Jiutian Shanzhi Multimodal Model: Enhanced Visual Capabilities

The Jiutian Shanzhi Multimodal Large Model improves generative controllability and understanding:

• Image Understanding: Scores 82.2 (MMStar), 64.3 (HallusionBench), and 94.9 (OCRBench).
• Video Understanding: Leads in Videomme and MVbench tasks.

The model supports multi-turn precise edits, such as background changes or element additions.

Open-Source Initiatives to Drive Industry Growth

China Mobile open-sourced several technologies to spur innovation:

1. Structured Data Large Model (JT-DA-8B): Includes weights and inference code.
2. Mathematics Large Model (JT-Math-8B): Available with technical reports.
3. Code Large Model (JT-Coder-8B): Supports developer customization.
4. TReB Evaluation System: First-of-its-kind structured data benchmarks.
5. CCR-Bench Dataset: Simulates industrial scenarios like healthcare and customer service.

These resources are accessible on GitHub, HuggingFace, and other platforms.

Key Points

• Jiutian 3.0 achieves top-tier performance in language and multimodal tasks.
• Open-source models and datasets aim to accelerate AI adoption across industries.
• Specialized models for coding and math set new benchmarks in their domains.