Baidu ERNIE beats GPT Gemini in the latest AI benchmark results, positioning China’s leading tech company at the forefront of artificial intelligence performance. The newly released ERNIE-4.5-VL-28B has demonstrated superior capabilities across multiple evaluation metrics, outperforming both OpenAI’s GPT-4o and Google’s Gemini 1.5 Pro in critical visual reasoning capabilities.
Open-Source AI Model Changes Industry Dynamics
Baidu unveiled its groundbreaking multimodal AI model at Baidu World 2025 on November 11, releasing it under the Apache 2.0 license for commercial and research use. This open-source AI model represents a significant shift in Chinese AI technology strategy, making advanced capabilities accessible to developers worldwide without usage restrictions.
The ERNIE-4.5-VL-28B model features 28 billion parameters and excels at processing both text and images simultaneously. Unlike proprietary competitors, developers can now deploy this technology in enterprise AI applications without licensing fees or API costs, fundamentally disrupting the current AI market landscape.
Benchmark Performance Surpasses Western Competitors
The model achieved remarkable scores across industry-standard evaluations, demonstrating Baidu ERNIE beats GPT Gemini in practical performance metrics. On the MathVista benchmark testing mathematical reasoning with visual inputs, ERNIE-4.5-VL scored 68.5% compared to GPT-4o’s 63.8% and Gemini 1.5 Pro’s 63.2%.
In ChartQA assessments measuring chart interpretation abilities, Baidu’s model reached 83.5% accuracy versus GPT-4o’s 78.1% and Gemini’s 81.3%. These results highlight the model’s superior image processing AI capabilities, particularly for complex visual data analysis tasks.
The AI also excelled in DocVQA document understanding tests with 92.3% accuracy, surpassing both American competitors. OCRBench optical character recognition evaluations showed similar dominance, with ERNIE-4.5-VL achieving 852 points against GPT-4o’s 736 points.
Visual Reasoning Capabilities Set New Standards
What distinguishes this multimodal AI model is its advanced approach to visual reasoning capabilities. The system can analyze complex images, extract contextual information, and generate accurate responses combining visual and textual understanding. This makes it particularly valuable for industries requiring document analysis, chart interpretation, and image-based decision-making.
Baidu incorporated innovative architectural improvements allowing the model to process high-resolution images while maintaining computational efficiency. The technology supports various enterprise AI applications including automated data extraction, visual quality control, medical imaging analysis, and educational content creation.
Enterprise Adoption and Global Implications
The release timing coincides with increasing demand for cost-effective AI solutions among enterprises. By offering capabilities matching or exceeding closed-source alternatives, Baidu positions ERNIE-4.5-VL as a compelling option for businesses seeking to integrate advanced AI without recurring API expenses.
This development also reflects broader trends in Chinese AI technology advancement, with domestic companies increasingly competing with Silicon Valley leaders. The model’s availability strengthens China’s position in the global AI race, particularly as companies seek alternatives to Western-dominated AI infrastructure similar to Google’s private AI compute infrastructure.
Technical Specifications and Availability
The ERNIE-4.5-VL-28B model is available through Baidu’s GitHub repository under the PaddlePaddle framework. Developers can access pre-trained weights, fine-tuning tools, and comprehensive documentation for implementation. The Apache 2.0 license permits commercial deployment, modification, and distribution without restrictions.
Hardware requirements remain reasonable despite the model’s capabilities, with optimization allowing deployment on standard GPU infrastructure. Baidu provides both cloud-based API access through its platform and downloadable versions for on-premise deployment, giving organizations flexibility in implementation strategies.
Future Development and Model Evolution
Baidu announced plans for continuous model improvements, with future versions targeting enhanced reasoning capabilities and expanded language support. The company’s commitment to open-source development suggests ongoing community contributions will further accelerate the technology’s evolution.
As Baidu ERNIE beats GPT Gemini in current benchmarks, the competitive pressure may drive innovation across the entire artificial intelligence performance landscape. This development signals a new phase where open-source alternatives challenge proprietary models, potentially reshaping how organizations approach AI adoption and deployment strategies moving forward.
