Baichuan Intelligence

I. What is Baichuan Intelligence

Baichuan Intelligence is a leading Chinese large language model research and development company founded on March 24, 2023 by Wang Xiaochuan, former CEO of Sogou. Its core team gathers top AI talents from well-known tech enterprises including Sogou, Baidu, Huawei, Microsoft, ByteDance and Tencent. Driven by the mission of enabling the public to access global knowledge and professional services easily and inclusively, the company focuses on making breakthroughs in linguistic AI technology to build China’s top-tier foundational large models.

Within less than 100 days after its establishment, Baichuan Intelligence released two open-source Chinese large models available for free commercial use: Baichuan-7B and Baichuan-13B, which ranked high on multiple authoritative evaluation lists with model downloads exceeding one million. At present, it has formed a complete product lineup covering general large models, medical large models and open-source commercially available models, serving enterprises, developers, research institutions and medical industry users.

II. Core Functions & Product Lineup

Baichuan Intelligence’s products fall into three major categories: general large model API services, medical large models and open-source commercial large models, fully meeting diverse user demands.

1. General Large Model API Services

Optimized for enterprise scenarios, it delivers cost-effective and high-speed cloud API calling services:

• Baichuan4-Turbo (Newly Released): Enterprise-optimized version with over 10% higher usability compared with standard Baichuan4; low deployment and inference costs, priced at only 80% of GPT-4o; greatly improved first-token response speed and token throughput.
• Baichuan4-Air (Newly Released): Pioneering MoE model adopting PRI architecture specially optimized for enterprise use; ultra-low calling price at 0.00098 CNY per thousand tokens with supreme cost performance; leading industry performance and far stronger timeliness than mainstream international MoE models.
• Baichuan4: Equipped with Search Agent, long-context window and multimodal capabilities. It secured the top rank among domestic models in SuperCLUE evaluations, outperforming mainstream overseas models in Chinese tasks such as knowledge Q&A, long-text processing and content creation, and achieving outstanding results in multiple authoritative multimodal benchmarks.

2. Medical Large Models

Professional large models tailored for the medical field and adapted to China’s healthcare environment:

• Baichuan-M2 Plus: The world’s first evidence-enhanced medical large model.
• Baichuan-M2: Open-source and commercially usable with 32 billion parameters, supporting 32K long-context inference and deployable on a single RTX 4090 GPU. It scored 60.1 in the open-source HealthBench medical evaluation, ranking first among all open-source medical models. It is the open-source model closest to GPT-5 in medical capabilities, surpassing open-source models from OpenAI and numerous cutting-edge closed-source models.
• Baichuan-M1: The industry’s first open-source enhanced medical large model with 14 billion parameters, trained on 20 trillion tokens of medical-enhanced corpus. It supports 32K ultra-long context and single RTX 4090 deployment. Its performance in professional medical knowledge and clinical practice evaluations exceeds Qwen2.5-72B-Instruct with larger parameters and is close to o1-mini.

3. Open-source Commercially Available Large Models

All support free commercial use and low-cost deployment for secondary development:

• Baichuan2-13B/7B: Multilingual models with 13 billion and 7 billion parameters respectively, trained on 2.6 trillion tokens of multilingual corpus. Compared with previous versions, Baichuan2-13B sees 49% improvement in mathematical reasoning, 46% in coding ability and 37% in content safety. With only 7 billion parameters, Baichuan2-7B delivers performance comparable to LlaMA2-13B in mainstream English tasks.
• Baichuan-13B/7B: Bilingual Chinese-English models with 13 billion and 7 billion parameters. They stand out as the best-performing commercially usable large language models within the same parameter scale, leading LlaMA-13B sharply in Chinese benchmarks and outperforming all peer open-source models in English evaluations.

III. Free Usage Policy

• Open-source Commercial Models: Baichuan-M2, Baichuan-M1, Baichuan2 series and Baichuan1 series are all fully open-source and free for commercial application without any licensing fees. Users can download model weights for local deployment and secondary development.
• Cloud API Services: Cloud APIs of Baichuan4-Turbo, Baichuan4-Air, Baichuan4 and other general models are paid services. Among them, Baichuan4-Air costs as low as 0.00098 CNY per thousand tokens, and Baichuan4-Turbo is priced 20% lower than GPT-4o, boasting far better cost performance than mainstream international models.

IV. Usage Guide

1. Cloud API Calling (For Enterprises & Rapid Development)

1. Visit the official website: https://www.baichuan-ai.com to register and log in.
2. Enter the developer console to apply for an API Key.
3. Call model services via HTTP interfaces or official SDKs compatible with Python, Java and other mainstream programming languages by referring to official documents.
4. Check call logs and billing details to manage API quotas.

2. Local Deployment of Open-source Models (For Developers & Research Institutions)

1. Download model weight files from Baichuan official website or Hugging Face.
2. Prepare deployment hardware: A single NVIDIA RTX 4090 is recommended for 32B models such as Baichuan-M2; mid-range GPUs are sufficient for 14B and 7B models.
3. Install dependent environments and load models following official deployment tutorials.
4. Carry out local inference, conduct secondary development and integrate models into in-house systems.

V. Target Users

1. Enterprise Users: Enterprises in need of cost-effective and stable large model services to build intelligent customer service, content generation, data analysis and other business systems.
2. Individual Developers: Developers who intend to conduct secondary development based on open-source large models and develop personalized AI applications.
3. Medical Practitioners: Doctors, medical researchers and medical institution staff for clinical assistance, medical training and literature analysis.
4. Research Institutions: AI researchers from universities and research institutes engaged in large model technology research and academic experiments.

VI. Application Scenarios

1. General Enterprise Scenarios

• Intelligent Customer Service & Consultation: Build 7×24-hour automated customer service systems to answer common user questions.
• Content Generation & Creation: Automatically produce marketing copies, news articles, product specifications, code snippets and more.
• Knowledge Q&A & Retrieval: Establish internal enterprise knowledge bases to realize intelligent question answering and information searching.
• Data Analysis & Processing: Complete text classification, summarization, sentiment analysis and entity extraction.
• Multimodal Data Processing: Process images and texts to achieve visual-text understanding and content generation.

2. Professional Medical Scenarios

• Auxiliary Clinical Diagnosis: Assist doctors in disease judgment and treatment plan formulation.
• Medical Examination Training: Provide exam tutoring and professional knowledge explanation for medical students and medical staff.
• Rare Disease Research: Support rare disease case analysis and offer relevant medical theories and research directions.
• Medical Literature Analysis: Efficiently sort out massive medical papers and extract core information.
• Patient Health Consultation: Deliver basic health guidance and medical treatment suggestions for patients.

3. Personal & Academic Scenarios

• Personal AI Assistant: Create customized intelligent assistants for daily affairs arrangement and learning aid.
• Academic Research: Conduct experiments on large model mechanisms and domain adaptation based on open-source models.
• Prototype Development: Quickly verify AI product ideas to cut down development costs and shorten cycles.

VII. Core Competitive Advantages

1. Advantages of General Large Models

• Leading Chinese Language Capability: Baichuan4 ranks first among domestic models in SuperCLUE assessments, surpassing mainstream overseas models in Chinese-oriented tasks.
• Ultra-high Cost Performance: The pioneering PRI-based Baichuan4-Air features an extremely low unit price; Baichuan4-Turbo is 20% cheaper than GPT-4o while achieving over 10% higher practical performance in enterprise scenarios.
• Faster Response Speed: Optimized first-token response and token transmission speed fully meet high-frequency business demands.

2. Advantages of Medical Large Models

• Top-tier Open-source Medical Model: Baichuan-M2 is the most powerful open-source medical model close to GPT-5 in medical professionalism, ranking first in HealthBench.
• Outperforms Many Closed-source Models: It surpasses numerous advanced closed-source models including Grok3, Gemini 2.5 Pro and GPT-4o in solving difficult medical problems.
• Localized Adaptation: Trained with authentic Chinese medical data, it fits domestic clinical practices and healthcare standards better.
• Low Deployment Threshold: Both 32B and 14B medical models can run smoothly on a single RTX 4090, greatly lowering application barriers for medical institutions.

3. Advantages of Open-source Models

• 100% Free Commercial Authorization: All open-source models are available for commercial use without extra licensing fees.
• Optimal Performance Within Same Parameters: It outperforms LlaMA series sharply in Chinese tasks and leads all peer open-source models in English capabilities.
• Easy Deployment: 7B, 14B and 32B models all support single RTX 4090 operation, accessible to ordinary developers.

4. Ecosystem & Academic Strengths

• Comprehensive Academic Support: Public technical blogs, research reports and open training process resources boost the development of large model technology.
• Extensive Cooperative Ecosystem: Established strategic partnerships with Peking University, Tsinghua University, Volcengine, Alibaba, JD Technology, Tencent Cloud and other renowned organizations.
• High Academic Recognition: Widely affirmed and supported by authoritative academic experts including Academician Zhang Bo and Academician Zheng Weimin.

VIII. Official Tutorials & Authoritative Evaluations

1. Official Usage Tutorials

• The official website provides complete API documents, SDK examples and detailed open-source model deployment guides.
• Dedicated medical scenario usage guidelines and best practices are available for medical large models.
• The developer community offers technical exchanges and problem-solving support.

2. Authoritative Evaluation Results

• General Capability Evaluation: Baichuan4 tops domestic large models in SuperCLUE; Baichuan-13B outperforms LlaMA-13B by a large margin in CMMLU, C-Eval and other Chinese benchmarks.
• Medical Capability Evaluation: Baichuan-M2 scores 60.1 in HealthBench, leading all open-source medical models; Baichuan-M1 achieves an average score of 71.07, higher than Qwen2.5-72B-Instruct (70.51) and close to o1-mini (73.49).
• Multilingual Evaluation: Baichuan2-7B matches the performance of LlaMA2-13B in mainstream English tasks with only half the parameters.

IX. Usage Precautions

1. Medical Model Disclaimer: All medical large models are only for auxiliary reference and cannot replace professional diagnosis and treatment advice from licensed doctors. All medical decisions must be made by qualified medical practitioners.
2. Open-source Protocol Compliance: Users must abide by Baichuan’s open-source agreements and shall not use the models for illegal purposes.
3. Cost Control: Set API usage quotas and expense reminders to avoid unexpected fees when using paid cloud APIs.
4. Privacy Protection: Do not input personal sensitive information, business secrets or confidential data into models.
5. Model Hallucination Warning: Large models may generate false or inaccurate content. Manual verification is required for critical information.
6. Content Compliance: It is prohibited to generate illegal, vulgar or copyright-infringing content via the models.

X. FAQ

1. Are Baichuan open-source models free for commercial use?

   Yes. All Baichuan open-source models including Baichuan-M2, Baichuan-M1, Baichuan2 series and Baichuan1 series are fully free for commercial deployment without licensing charges.

2. What hardware is required for local deployment?
   • 32B models (e.g. Baichuan-M2): Single NVIDIA RTX 4090 recommended
   • 14B models (e.g. Baichuan-M1, Baichuan2-13B): RTX 3090 / RTX 4070 Ti or higher
   • 7B models (e.g. Baichuan2-7B): RTX 3060 / RTX 4060 or higher
3. How fast is Baichuan large model API response?

   Baichuan4-Turbo and Baichuan4-Air are specially optimized for high speed, with greatly upgraded first-token response speed and data throughput, perfectly meeting enterprise high-frequency business needs.

4. How accurate are Baichuan medical large models?

   Baichuan-M2 ranks first among all open-source medical models with a score of 60.1 in HealthBench. It even outperforms many top closed-source models including Grok3, Gemini 2.5 Pro and GPT-4o in handling complex medical issues.

5. How to obtain technical support?

   Users can get professional support via the developer center, official documents and community forums on Baichuan official website, or consult official customer service teams.