
What is the Bunshin Big Model 4.5
Wenxin Big Model 4.5 is a new generation of native multimodal base big model independently developed by Baidu, officially released on March 16, 2025, and is the first native Baidumultimodal macromodel, which achieves synergistic optimization through joint modeling of multiple modalities and significantly improves the multimodal comprehension capability. It can not only process text data, but also comprehensively understand pictures, audio, video and other contents, demonstrating excellent multimodal fusion capability.
Wenshin Big Model 4.5 Main Functions
- multimodal understandingWenxin Big Model 4.5 can seamlessly integrate and process text, image, audio, video and other modal contents, and possesses "high IQ" capabilities such as graphical reasoning, chart analysis, etc. Meanwhile, it can accurately understand complex semantic scenarios such as network terrier diagrams and satirical caricatures, and display "high emotional intelligence". High IQ".
- Text generation and logical reasoning: The model excels in text generation and logical reasoning, generating high-quality natural language text and accurately performing logical reasoning and question answering.
- cross-modal interaction: Users can interact with the Wenshin Big Model 4.5 in different forms, such as text, image or voice, and the model can automatically understand and provide corresponding outputs, realizing a smarter interactive experience.
Wenshin Big Model 4.5 Core Technology
- FlashMask Dynamic Attention Mask: Accelerate flexible attention mask computation for large models, effectively improve long sequence modeling capability and training efficiency, and optimize long text processing capability and multi-round interaction performance.
- Multimodal Heterogeneous Expert Extension Techniques: Constructing modal heterogeneity experts based on modal characteristics, combining with adaptive modal perception loss function, solving the problem of gradient imbalance of different modes, and improving the ability of multimodal fusion.
- Spatio-temporal dimensional characterization compression techniques: Efficient compression of semantic representations of images and videos in the spatio-temporal dimension, dramatically improving the efficiency of multimodal data training and enhancing the ability to draw world knowledge from long videos.
- Large-scale data construction techniques based on knowledge points: Construct high knowledge density pre-training data based on knowledge hierarchical sampling, data compression and fusion, and scarce knowledge point oriented synthesis techniques to improve model learning efficiency and dramatically reduce model illusion.
- Self-feedback based Post-training technique: A self-feedback iterative post-training technique that incorporates multiple evaluation modalities to comprehensively improve reinforcement learning stability and robustness, and dramatically improve the ability of pre-trained models to align with human intentions.
Wenxin Big Model 4.5 Usage Scenarios
- content creation: Text Heart Big Model 4.5 can assist in generating high-quality text content such as articles, poems and novels, as well as multimedia content such as creative advertisements and split-screen scripts.
- Intelligent Customer Service: Improve the efficiency and quality of customer service and reduce labor costs through natural language processing technology.
- Educational aids: Generate course content and exercises to assist teachers in teaching; provide personalized learning suggestions for students to enhance learning results.
- Medical Decision Support: Assist doctors to quickly analyze medical records, generate diagnostic recommendations, and improve the efficiency and accuracy of medical decision-making.
- Financial risk assessment: Conduct risk assessment and investment analysis to help investors make more accurate decisions.
Wenshin Big Model 4.5 Charging Method
Wenxin Big Model 4.5 is available for free at Wenxin Yiyan official website. At the same time, enterprises and developers can call the model in the Baidu Intelligent Cloud Thousand Sails Big Model platform, with an input price of 0.004 yuan/thousand tokens and an output price of 0.016 yuan/thousand tokens, which is about 1% of the price of GPT4.5.
Wenxin Big Model 4.5 Recommended Reasons
- superior performance: Textcenter Big Model 4.5 outperforms GPT4.5 in a number of benchmark tests, especially in multimodal comprehension, logical reasoning, and text generation.
- Cost Advantage: The API call price is only 1% of GPT4.5, providing a more cost-effective solution for enterprises and developers.
- technological lead: A number of advanced techniques are used to significantly improve the efficiency of long text processing and cross-modal fusion capabilities, and to reduce the model illusion problem.
- open source ecology: Baidu plans to fully open source Wenxin Big Model 4.5 on June 30, which will promote more developers and enterprises to use this advanced technology to promote the intelligent transformation of various industries.
- Localization Advantage: The performance of Wenshin Big Model 4.5 in the Chinese context far exceeds that of overseas competitors, and is able to more accurately parse local cultural scenarios to meet the needs of domestic users.
data statistics
Relevant Navigation

Developed by the DeepSeek team, it is an efficient visual language model based on a hybrid expert architecture with powerful multimodal understanding and processing capabilities.

TianGong LM
Kunlun World Wide's self-developed double-gigabyte large language model, with powerful text generation and comprehension capabilities and support for multimodal interaction, is an important innovation in the field of Chinese AI.

Blue Heart Large Model
Vivo's self-developed generalized big model matrix contains several self-developed big models covering core scenarios, providing intelligent assistance, dialog bots, and other functions with powerful language understanding and generation capabilities.

Kling LM
Racer's self-developed advanced video generation model supports the generation of high-quality videos based on text descriptions, helping users to efficiently create artistic video content.

Pangu LM
Huawei has developed an industry-leading, ultra-large-scale pre-trained model with powerful natural language processing, visual processing, and multimodal capabilities that can be widely used in multiple industry scenarios.

BaiChuan LM
Baichuan Intelligence launched a large-scale language model integrating intent understanding, information retrieval and reinforcement learning technologies, which is committed to providing natural and efficient intelligent services, and has opened APIs and open-sourced some of the models.

QwQ-32B
Alibaba released a high-performance inference model with 32 billion parameters that excels in mathematics and programming for a wide range of application scenarios.

Gemini 2.0 Pro
Google released a high-performance AI model with strong coding performance and the ability to handle complex cues with a contextual window of 2 million tokens.
No comments...
