Baidu Wenxin (website: agents.baidu.com) is a one-stop AI agent development and distribution platform built by Baidu on its proprietary "Wenxin Large Model" technology foundation. Its product positioning has evolved from an initial conversational AI assistant to an enterprise-grade and individual-developer-oriented agent operating system, providing full-chain capabilities from semantic understanding, multimodal generation, tool invocation, to knowledge base integration. The platform deeply integrates Baidu's years of accumulated expertise in natural language processing, knowledge graphs, search engines, and cloud computing, constructing a three-in-one core architecture of "model layer – tool layer – ecosystem layer," aimed at lowering the barrier to AI application development so that non-technical users can quickly create agents with reasoning, memory, and execution capabilities through natural language descriptions.

As a benchmark product in China's AI field, Baidu Wenxin leverages the Baidu PaddlePaddle deep learning framework and Kunlun chip computing infrastructure, giving it significant advantages in the depth and breadth of Chinese semantic understanding. According to Baidu's official disclosures, as of 2026, the Wenxin agent platform has hosted over one million active agents, covering key industries such as government services, finance, education, and healthcare, making it one of the de facto standard agent infrastructures in China. Its industry position is not only reflected in leading technical indicators but also in its complete commercial closed loop: developers can commercialize and distribute their agents through the platform's built-in "Revenue Growth Center," enterprises can seamlessly integrate via pay-as-you-go APIs, and individual users can experience cutting-edge AI capabilities for free, forming a multi-tier, multi-scenario ecosystem coverage.

• No-code agent orchestration - Provides a visual drag-and-drop workflow editor. Users configure role settings, skill plugins, knowledge bases, and triggers through natural language, generating agents with complex decision-making capabilities without writing code.
• Multimodal fusion engine - Powered by Wenxin Large Model 4.0, supports joint understanding and generation of text, images, audio, and video, enabling cross-modal information extraction, image-text creation, voice interaction, and other integrated capabilities.
• Enterprise-grade knowledge base RAG - Built-in high-efficiency retrieval-augmented generation (RAG) pipeline that supports uploading documents in PDF, Word, web page, and other formats, automatically performing chunking, vectorization, and index construction, ensuring agent responses are strictly based on private knowledge, with citation tracing and permission control.
• Plugin and tool invocation - Preloaded with native tools such as Baidu Search, Maps, Weather, Calculator, and supports OpenAPI-standard integration of custom RESTful services, enabling agents to fetch real-time dynamic data or execute third-party business operations.
• Full-chain debugging and monitoring - Provides conversation log analysis, token consumption tracking, anomaly alerts, and an online tuning panel. Developers can inspect the model inference chain for each interaction and quickly identify hallucinations or erroneous responses.
• One-click multi-channel distribution - Generated agents can be seamlessly deployed to Baidu Search, Wenxin Yiyan APP, WeChat Mini Programs, web SDKs, and enterprise IM (such as Feishu and DingTalk), achieving "create once, run anywhere."

• Registration and login - Visit agents.baidu.com and register quickly with a Baidu account or phone number. Individual developers can activate for free, while enterprise users can choose the enterprise edition for dedicated computing power and SLA guarantees.
• Interface navigation and agent creation - After entering the console, click the "Create Agent" button. The system provides various templates (customer service, teaching assistant, writing assistant, etc.), or you can start from scratch. In the configuration wizard, fill in basic information such as the agent name, persona settings, and opening remarks.
• Configure capability modules - In the "Skills" tab, add plugins (e.g., search engine, calculator); in the "Knowledge Base" tab, upload proprietary documents; in the "Workflow" tab, drag and drop nodes to set complex logic (such as conditional branches, loop processing, API calls). If custom code is needed, switch to "Code Mode" to write Python functions.
• Testing, publishing, and distribution - Use the right-side preview panel for multi-turn dialogue testing, checking response quality and citation tracing. After confirming, click "Publish," select distribution channels (e.g., mounting on Baidu search results pages, WeChat customer service integration, iframe embedding), and the system automatically generates links or code snippets, also supporting external system access via API keys.

Example 1: Workplace intelligent customer service - Input prompt: "Please create an e-commerce after-sales customer service agent with a patient and friendly personality, proficient in return policies, logistics tracking, and refund processes. Upload the latest after-sales manual PDF to the knowledge base. Responses must include the corresponding policy clause numbers." Expected output: When a customer asks, "The product I bought yesterday has an incorrect size," the agent automatically extracts order information and replies based on the knowledge base: "Your order qualifies for the 7-day no-reason return/exchange policy (per Chapter 3, Article 2 of the manual). We can arrange door-to-door pickup, and the refund is expected to be returned to the original payment method within 1-3 business days." The response includes source citations.

Example 2: Viral content script generation for self-media - Input prompt: "You are a senior social media operations expert. Please generate 5 short video scripts for Douyin about 'summer sun protection,' each about 30 seconds, with suspenseful openings, bullet-list benefits, and calls to action, in a light and humorous tone." Expected output: The system provides 5 scripts, each containing storyboard descriptions, voiceover copy, subtitle suggestions, and BGM cues, with emojis and trending hashtags automatically embedded, and a one-click export to a spreadsheet.

Example 3: Financial statement analysis assistant - An administrator uploads CSV files of the company's income statements and balance sheets for the last three quarters, then asks: "Comparing Q2 and Q3, what are the main reasons for the gross margin change?" The agent invokes the RAG engine to retrieve report data and combines built-in accounting logic to generate the analysis: "Gross margin decreased by 4.2 percentage points quarter-over-quarter in Q3, mainly due to a 12% increase in raw material costs and an 8% decline in sales of high-margin product lines. It is recommended to optimize the supply chain and increase promotions for new products." It also generates a dynamic chart link (integrating a third-party visualization plugin).

• Leading Chinese semantic understanding - Pre-trained on Baidu Search's massive Chinese corpus and knowledge graph, it significantly outperforms international general models in understanding idioms, internet neologisms, and industry terminology, reducing the hallucination rate in Chinese scenarios by approximately 35%.
• Seamless ecosystem integration - Agents can be directly mounted on national-level applications such as Baidu Search, Baidu Maps, and Aiqicha, gaining natural traffic entry points and data feedback, forming a "develop-distribute-optimize" closed loop that no independent SaaS platform can match.
• Low barrier, high availability - Visual orchestration and natural language configuration allow non-programmers to get started quickly, with an average time of less than 10 minutes to create the first agent. It also provides high-concurrency elastic computing power, with enterprise-grade service availability as high as 99.9%.
• Security and compliance moat - A fully domestically produced technology stack (PaddlePaddle + Kunlun Chip), certified with Class 3 Security Protection and generative AI filing, supports private deployment, and meets regulatory requirements for highly sensitive industries such as finance and government.
• Cost-effective and flexible - The free version allows full access to all features, and personal developers' daily request quota is sufficient for small-traffic applications. Enterprises are billed per token with resource package discounts, making overall costs 40%-60% lower than comparable international products.

Typical platforms directly competing with Baidu Wenxin include: ByteDance's "Coze", Alibaba's "Model Studio" (Bailian), and international platform Dify.AI. Compared with Coze, Wenxin's core differentiation lies in its more mature public knowledge integration capabilities and real-time data access from Baidu Search, especially in long-tail Chinese queries and localized content generation, where it is more accurate. Additionally, Wenxin has accumulated richer compliance cases in government and central state-owned enterprise projects.

Compared with Alibaba's Bailian, both have large model foundations, but Wenxin's agent platform holds a significant advantage in "distribution channels"—Baidu Search is the largest traffic browser entry point in China, and agents can reach users directly through search cards, whereas Bailian relies more on the enterprise IT procurement path within the Alibaba Cloud ecosystem. Furthermore, Wenxin's RAG pipeline is better optimized for parsing Chinese PDFs and scanned documents, and supports batch OCR preprocessing.

Compared with open-source platforms like Dify.AI, Wenxin's weakness is slightly lower flexibility in terms of customization and private deployment, but its managed service eliminates operational overhead and provides out-of-the-box Baidu value-added services (such as speech synthesis and face recognition plugins). Overall, Wenxin is more suitable for Chinese users who prioritize Chinese language performance, traffic distribution, and compliance requirements.

Baidu Wenxin adopts a three-tier business model of "Free Freemium + Enterprise Subscription + API pay-as-you-go."

• Free Edition (Individual Developers) - No payment required to access all basic features: a maximum of 50 agents, 1,000 total daily requests (approximately 50,000 tokens), support for mainstream plugins, and a knowledge base capacity of 2 GB. Suitable for personal learning and light testing.
• Professional Edition (Pro) - Monthly fee of 99 RMB (12% discount for annual payment), providing higher concurrency quotas (up to 10,000 daily requests), a dedicated GPU resource pool, conversation data export, advanced debugging and analysis tools, and custom share page branding without platform watermarks.
• Enterprise Edition (Team/Enterprise) - Annual subscription starting at 2,999 RMB/year, including unlimited agent creation, a private knowledge base starting at 100 GB, team collaboration permission management, SSO single sign-on, dedicated customer service tickets, and an SLA guarantee (99.9% availability). For private deployment, a separate quotation is provided (including delivery and maintenance costs).
• API Pricing - Provides standard RESTful APIs billed per token: Wenxin ERNIE-4.0-Turbo at 0.002 RMB per 1,000 input tokens and 0.006 RMB per 1,000 output tokens; Wenxin ERNIE-3.5 (lightweight version) is priced 70% lower, suitable for high-frequency call scenarios. Prepaid resource packages are also available (e.g., a 1 million token package for 150 RMB), with higher discounts for larger volumes.

• Software engineers and AI application developers - Familiar with programming, they want to quickly integrate agent capabilities into existing business systems via APIs, or use Python SDKs to build customized workflows, saving costs on underlying model tuning.
• Product managers and business operations staff - Non-technical backgrounds but need to build internal knowledge base Q&A systems, automated customer service, and marketing content generation tools. They leverage visual orchestration and templates to launch quickly and respond to business needs.
• Students and academic researchers - Used for course projects, paper polishing, literature review extraction, multilingual translation, and other scenarios. The free quota fully meets daily needs, and the platform also serves as a learning resource for cutting-edge practices in large model application development.
• Self-media creators and freelancers - Need efficient production of short video scripts, WeChat official account articles, Xiaohongshu notes, etc. They use multimodal generation and plugin capabilities to increase content output and quality while exploring monetization channels for agents.

• Enterprise intelligent customer service - Automatically handles pre-sales inquiries, after-sales complaints, and FAQ responses. Can integrate with enterprise CRM and order APIs to provide 7×24-hour response, with accuracy consistently above 90%, requiring human agents only for high-difficulty sessions.
• Programming assistance and code refactoring - Developers describe requirements in natural language, and the agent generates code snippets in Python, Java, SQL, etc., while also providing comment completion, defect checking, and performance optimization suggestions for existing code, improving development efficiency.
• Multilingual localization and translation - Leveraging the cross-lingual capabilities of the Wenxin large model, high-precision translation of product documentation, marketing emails, and legal contracts, preserving professional terminology accuracy and cultural nuances, with support for custom glossary management.
• Data insights and decision support - Connect to databases or upload CSVs to obtain explanatory analyses of business metric anomalies, customer segmentation profiles, and sales trend forecasts through conversational Q&A, automatically generating visual reports to assist management in rapid decision-making.
• Education and training - Build personalized AI teaching assistants to provide knowledge explanations, exercise grading, and error analysis, as well as simulate interviewers for oral practice and interview review, reducing tutoring institutions' staffing costs.
• Content compliance review - In highly regulated industries such as finance and healthcare, agents automatically scan externally published content to identify improper advertising, data privacy leakage risks, and policy violations, while providing modification suggestions.