{"id":10469,"date":"2025-07-15T17:21:13","date_gmt":"2025-07-15T09:21:13","guid":{"rendered":"https:\/\/aicats.wiki\/sites\/10469.html"},"modified":"2025-07-15T17:21:57","modified_gmt":"2025-07-15T09:21:57","slug":"wenxin-big-model","status":"publish","type":"sites","link":"https:\/\/aicats.wiki\/en\/sites\/10469-html","title":{"rendered":"Wenxin Big Model"},"content":{"rendered":"<p><strong><a class=\"external\" href=\"https:\/\/aicats.wiki\/en\/sitetag\/wenxin-big-model\" title=\"View articles related to \u6587\u5fc3\u5927\u6a21\u578b\" target=\"_blank\">Wenxin Big Model<\/a><\/strong>It is a domestically developed AI training model launched by Baidu, which integrates...<strong>Multimodal content processing<\/strong>\u3001<strong>Powerful Chinese understanding and generation<\/strong>All in one. The Wenxin Grand Model 4.5 is now available.<strong>Completely free and open<\/strong>API calls<strong>Extremely low price<\/strong>It can be applied to various scenarios such as content creation, programming, enterprise analytics, and intelligent dialogue; it supports local deployment and personalized fine-tuning, and is available in [location missing].<strong>Fully open source by June 30, 2024<\/strong>This significantly lowers the barrier to independent AI research and development, becoming<a href=\"https:\/\/aicats.wiki\/en\/2025\/07\/09\/6769.html\/\" title=\"DeepSeek Comprehensive Chinese Analysis: An Essential User Guide for AI Developers and Users\">Domestic AI field<\/a>Its leading product.<\/p>\n\n\n\n<p>In recent years,<strong>AI<\/strong>Technological advancements are astonishing, especially the general AI capabilities brought about by &quot;large models,&quot; which continue to exceed expectations. Baidu&#039;s self-developed...<strong>ERNIE Large Model<\/strong>It has become a phenomenal product in China&#039;s AI field. This article provides a comprehensive analysis.<strong>Wenxin Big Model<\/strong>Information such as functions, applications, pricing, and usage methods.<\/p>\n\n\n\n<p><strong>Official website entrance:<\/strong> <a href=\"https:\/\/wenxin.baidu.com\/\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >https:\/\/wenxin.baidu.com\/<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">The main functions of the Wenxin large model<\/h2>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/07\/my_prefix_1752496126.png\" alt=\"Baidu Wenxin Large Model Official Website\" class=\"wp-image-51824\"\/><figcaption class=\"wp-element-caption\">Image\/Baidu Wenxin Large Model Official Website<\/figcaption><\/figure>\n\n\n\n<p><strong>Wenxin Big Model<\/strong>It&#039;s Baidu&#039;s AI-powered large language model, integrating multimodal capabilities to handle various tasks including natural language, images, audio and video, and complex reasoning. The latest version, Wenxin Large Model 4.5, was released in 2024.<strong>Free admission<\/strong>This will bring a new wave of technology to the industry.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Core Function List<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Multimodal processing capability<\/strong>Supports text, image, audio and video input and output.<\/li>\n\n\n\n<li><strong>Large-scale semantic understanding and generation<\/strong>Supports deep dialogue, summary generation, press release writing, code generation, etc.<\/li>\n\n\n\n<li><strong>Advanced reasoning ability<\/strong>It can parse charts and memes for data analysis.<\/li>\n\n\n\n<li><strong>Content creation<\/strong>Generate literary works, marketing copy, academic papers, PPT presentations, etc.<\/li>\n\n\n\n<li><strong>Tool Integration<\/strong>External API tool calls for automatic plotting and web retrieval.<\/li>\n\n\n\n<li><strong>Enterprise API Open<\/strong>Batch processing and enterprise system integration.<\/li>\n\n\n\n<li><strong>Multilingual support<\/strong>Its Chinese language capabilities are among the best in the industry, and it supports multiple languages.<\/li>\n\n\n\n<li><strong>Customizable knowledge base and enterprise fine-tuning<\/strong>Customized for enterprises and industries.<\/li>\n<\/ul>\n\n\n\n<p>Click to view product details:<a href=\"https:\/\/wenxin.baidu.com\/moduleApi\/ERNIE-API\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >Wenxin Large Model Function Details Page<\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Main Function Comparison Table<\/h4>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1775\" height=\"873\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/07\/image-290.jpg\" alt=\"Feature Details\" class=\"wp-image-11253\"\/><figcaption class=\"wp-element-caption\">Image\/Function Details<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Functional categories<\/th><th>Wenxin Large Model 4.5<\/th><th>GPT-4.5<\/th><th>DeepSeek V3<\/th><\/tr><tr><td>Multimodal support<\/td><td>support<\/td><td>support<\/td><td>support<\/td><\/tr><tr><td>Chinese understanding<\/td><td><strong>Super strong<\/strong><\/td><td>\u5f3a<\/td><td>\u5f3a<\/td><\/tr><tr><td>English comprehension<\/td><td>\u5f3a<\/td><td><strong>Super strong<\/strong><\/td><td>Strong<\/td><\/tr><tr><td>Coding ability<\/td><td>\u5f3a<\/td><td><strong>Super strong<\/strong><\/td><td>\u5f3a<\/td><\/tr><tr><td>Tool call<\/td><td>support<\/td><td>support<\/td><td>support<\/td><\/tr><tr><td>Price and ease of use<\/td><td><strong>Free + Super Low Price<\/strong><\/td><td>High fees<\/td><td>API requires payment.<\/td><\/tr><tr><td>Enterprise customization<\/td><td>open<\/td><td>Partially open<\/td><td>Partially open<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Price &amp; Solution for Wenxin Large Model<\/h2>\n\n\n\n<p>In the current AI &quot;price war&quot;,<strong>Baidu Wenxin Large Model is Available for Free<\/strong>This greatly lowers the barrier to entry for using AI applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Pricing for individual and enterprise users<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1775\" height=\"873\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/07\/image-290.png\" alt=\"Free access\" class=\"wp-image-11258\"\/><figcaption class=\"wp-element-caption\">Image\/Free to use<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>individual users<\/strong>The web version and app version are both free.<\/li>\n\n\n\n<li><strong>API call pricing<\/strong>(Qianfan Large Model Platform):<ul><li>Wenxin Large Model 4.5: Input \u00a50.004 per 1000 tokens, Output \u00a50.016 per 1000 tokens. Wenxin Large Model X1: Input \u00a50.002 per 1000 tokens, Output \u00a50.008 per 1000 tokens. GPT-4.5 (Reference): Input approximately \u00a50.40\/1000 tokens, Output approximately \u00a51.60\/1000 tokens.<\/li>    <strong>The API call cost is approximately 1% of GPT-4.5.<\/strong><br><\/ul><\/li>\n\n\n\n<li><strong>Enterprise Services<\/strong>Supports batch\/private deployment<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Charging Model Trends<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>type<\/th><th>illustrate<\/th><th>Remark<\/th><\/tr><tr><td>Free trial<\/td><td>All web pages\/apps are free for personal users.<\/td><td>No payment required, all models are available.<\/td><\/tr><tr><td>Metering and Billing<\/td><td>Enterprise API\/token at ultra-low prices<\/td><td>Transparent call fees<\/td><\/tr><tr><td>Open source model<\/td><td>Local deployment is possible without copyright fees.<\/td><td>Suitable for companies that develop their own technologies<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How to use the Wenxin large model<\/h2>\n\n\n\n<p><strong>The Wenxin large model entry is extremely easy to use; it can be mastered in three steps:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Register a Baidu account<\/strong><\/li>\n\n\n\n<li>access<a href=\"https:\/\/wenxin.baidu.com\/\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >Wenxin Large Model Portal<\/a>Select &quot;Experience Now&quot;\u201c<\/li>\n\n\n\n<li>Choose from modules such as Q&amp;A, creation, code, image, and audio\/video, and then enter your commands to use them.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1775\" height=\"873\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/07\/image-291.jpg\" alt=\"Experience it now\" class=\"wp-image-11263\"\/><figcaption class=\"wp-element-caption\">Image\/Experience Now<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Enterprise\/Developer API Access<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Log in<\/li>\n\n\n\n<li>Obtain the API key and consult the API documentation.<\/li>\n\n\n\n<li>Integrated into internal enterprise business processes, supporting multi-language SDKs including Python, Java, and C#.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Using flowcharts<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>step<\/th><th>User Operations<\/th><\/tr><tr><td>register<\/td><td>Baidu account registration\/login<\/td><\/tr><tr><td>Authorization<\/td><td>Get API Key<\/td><\/tr><tr><td>Calling the API<\/td><td>Initiate an API request according to the official documentation.<\/td><\/tr><tr><td>Operation and maintenance support<\/td><td>Technical team support, FAQ inquiry<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">The target audience for Wenxin&#039;s large model<\/h2>\n\n\n\n<p>With its powerful multimodal and AI training capabilities,<strong>The Wenxin Big Model is applicable to a wide range of people and industries.<\/strong>\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ordinary information workers<\/strong>Content creation, emails, and automated copywriting generation.<\/li>\n\n\n\n<li><strong>Students\/Research<\/strong>Academic support, programming Q&amp;A, and thesis assistance<\/li>\n\n\n\n<li><strong>Enterprise users<\/strong>Customer service, batch chat, intelligent analysis<\/li>\n\n\n\n<li><strong>Developers<\/strong>AI application development, tool integration, and customized training<\/li>\n\n\n\n<li><strong>Teachers\/Education Industry<\/strong>Teaching aids, speech-to-text transcription, and intelligent grading<\/li>\n\n\n\n<li><strong>industries such as healthcare, law, and finance<\/strong>Professional knowledge Q&amp;A, data analysis<\/li>\n\n\n\n<li><strong>Designer\/Multimedia Worker<\/strong>Supports creative production of text, audio, and video.<\/li>\n\n\n\n<li><strong>Government Affairs\/Public Services<\/strong>Intelligent question answering, office automation<\/li>\n\n\n\n<li><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Technical Highlights of the Wenxin Large Model<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. Hybrid Expert MoE Architecture<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Supports parallel processing of ultra-large parameters, improving generation efficiency and lowering the computational barrier.<\/li>\n\n\n\n<li>Multimodal heterogeneous modeling capability<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. Leading performance in Chinese task tasks<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Instruction compliance, factual memory, and multimodal reasoning all surpass industry mainstream performance.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. PaddlePaddle Framework Ecosystem<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Based on the self-developed PaddlePaddle full-process training and inference<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Technological breakthrough<\/th><th>illustrate<\/th><\/tr><tr><td>MoE Expert Mechanism<\/td><td>Multi-expert collaboration, suitable for industry customization<\/td><\/tr><tr><td>Multimodal unification<\/td><td>Text, images, audio, and video in all scenarios<\/td><\/tr><tr><td>High-efficiency inference engine<\/td><td>Resource savings and reduced deployment difficulty<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Wenxin Large Model Open Source Project<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1775\" height=\"873\" src=\"https:\/\/aicats.wiki\/wp-content\/uploads\/2025\/07\/image-291.png\" alt=\"Wenxin Open Source\" class=\"wp-image-11270\"\/><figcaption class=\"wp-element-caption\">Image\/Wenxin Open Source<\/figcaption><\/figure>\n\n\n\n<p>Baidu<strong>June 30, 2024<\/strong>The Wenxin large model 4.5 weights and inference code<strong>Fully open source<\/strong>Supports industrial and academic deployments of HuggingFace and the PaddlePaddle community, adopting...<strong>Apache 2.0 license<\/strong>This will further lower the barriers to AI research and development.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Suitable for integration with scientific research and enterprise-owned platforms<\/li>\n\n\n\n<li>Supports efficient full-stack deployment of PaddlePaddle<\/li>\n<\/ul>\n\n\n\n<p>Resources and Deployment Guidelines:<br> <a href=\"https:\/\/paddlenlp.readthedocs.io\/zh\/latest\/model_zoo\/transformers\/ERNIE\/contents.html\" target=\"_blank\" rel=\"noopener\" title=\"\" class=\"external\" >PaddlePaddle Galaxy Community<\/a><br> <a href=\"https:\/\/huggingface.co\/baidu\/ERNIE-4.5-21B-A3B-PT\" target=\"_blank\" rel=\"noopener\" title=\"\" class=\"external\" >HuggingFace Wenxin Zone<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. How to deploy the Wenxin large model locally or in an enterprise cloud?<\/h3>\n\n\n\n<p>The weight and inference code can be downloaded from the official open-source repository and deployed locally using the PaddlePaddle framework. See details:<a href=\"https:\/\/wenxin.baidu.com\/moduleApi\/ERNIE-API?tab=open\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >Local Deployment Instructions<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. Which programming languages and SDKs are supported?<\/h3>\n\n\n\n<p>The official documentation provides mainstream SDKs and RESTful APIs for Python, Java, C#, etc., enabling developers to integrate more efficiently. See details.<a href=\"https:\/\/cloud.baidu.com\/doc\/WENXIN\/s\/ilb8uwvvu\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >API Development Documentation<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. Can it be customized for specific industries or fine-tuned for individual companies?<\/h3>\n\n\n\n<p>Supports enterprises in making industry-specific fine-tuning and customizations on the Qianfan platform&#039;s APIs or open-source models to create their own custom AI. (Reference:)<a href=\"https:\/\/wenxin.baidu.com\/appCase#faq\" target=\"_blank\" rel=\"nofollow noopener\"  class=\"external\" >Customization and Fine-tuning FAQ<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Wenxin Big Model<\/strong>With its superior AI training models, multimodal innovation, low cost, and open-source strategy, it has become a leading product in the domestic AI field. For more product information, pricing, and case studies, please visit [website address].<a href=\"https:\/\/wenxin.baidu.com\/\" target=\"_blank\"  rel=\"nofollow noopener\"  class=\"external\" >Wenxin Large Model Official Website<\/a>\u3002<\/p>","protected":false},"author":3,"comment_status":"open","ping_status":"closed","template":"","meta":{"_crsspst_to_aicatswiki":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"content_visibility":[262],"sitetag":[17,619],"favorites":[577],"class_list":["post-10469","sites","type-sites","status-publish","hentry","sitetag-ai","sitetag-619","favorites-ai-models"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites\/10469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites"}],"about":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/types\/sites"}],"author":[{"embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/comments?post=10469"}],"version-history":[{"count":0,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sites\/10469\/revisions"}],"wp:attachment":[{"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/media?parent=10469"}],"wp:term":[{"taxonomy":"content_visibility","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/content_visibility?post=10469"},{"taxonomy":"sitetag","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/sitetag?post=10469"},{"taxonomy":"favorites","embeddable":true,"href":"https:\/\/aicats.wiki\/en\/wp-json\/wp\/v2\/favorites?post=10469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}