Introduction:
On April 1, 2025, Baidu announced that its large language model product Ernie Bot (文心一言) has officially entered a fully free mode. Users can now access core functionalities such as conversational interaction, content generation, and multimodal processing without payment. This move is viewed as a significant strategic adjustment by Baidu in the competition around AI applications and has swiftly triggered widespread industry discussion about the commercialization pathways of large models, the construction of user ecosystems, and changes in market dynamics. From computational power reserves at the technical layer to scenario deployments at the application layer, from being a productivity tool for individual users to an intelligence engine for enterprises, Baidu is using “free” as a fulcrum to leverage a new shift in the trillion-yuan AI application market.
I. The Underlying Business Logic of the Free Strategy: From “Traffic Harvesting” to “Ecosystem Building”
1. Solving Industry Pain Points: The “Last Mile” Dilemma in Model Adoption
The current common issues in China’s model industry are as follows:
- Cost barrier: Subscription fees for mainstream large model tools typically range from RMB 100 to 300 (approx. USD 14–42) per month, which is unaffordable for individuals and small to medium enterprises.
- Technical threshold: API calls require configuration by professional technical teams, making it difficult for non-tech users to access.
- Scenario fragmentation: Most tools focus on a single function (e.g., text generation or code assistance), lacking integrated solutions.
Baidu’s move toward “completely free” is essentially a systematic breakthrough aimed at the above pain points. By waiving fees for basic functions (including chat, text and image generation, and basic API calls), it lowers the entry barrier to “zero cost,” with the goal of scaling its user base from tens of millions to over one hundred million within 12 months.
2. A Data-Driven “Flywheel Effect”: The Technical Feedback Logic Behind Free Access
The core competitiveness of large models lies in the iterative closed loop of “data–algorithm–computing power.” According to Baidu’s annual report, Ernie Bot has served over 200,000 enterprises, processing more than 100 billion requests. The free strategy will further amplify its data advantage:
- C-end behavioral data: User interactions in scenarios such as copywriting, learning assistance, and life consultation can improve the model’s understanding of everyday language.
- B-end scenario data: API call data from enterprises in customer service, marketing, supply chain, and other domains can strengthen the model’s adaptability to industry-specific verticals. For instance, in the e-commerce scenario, a beauty brand using the free API to generate product descriptions frequently requested “Guochao-style marketing language,” which in turn helps refine training and develop precise industry templates.
This positive cycle — “user base expansion → improved data quality → optimized product experience → increased user stickiness” — is the underlying logic that enables Baidu to confidently invest in this strategy.
3. Reconstructing the Business Model: From “Charging for Tools” to “Monetizing the Ecosystem”
Baidu’s free strategy is not about “losing money for popularity,” but rather it draws from the classic internet model of “free basic services + paid premium services,” upgraded for AI characteristics:
- Free basic layer: Covers 90% of general-purpose functionalities (e.g., conversation, basic image and text generation, code snippet assistance), meeting the daily needs of individuals and micro/small businesses.
- Paid premium layer: Aimed at enterprise-level clients, Baidu offers the Wenxin Qianfan Large Model Platform, providing customized model training (e.g., financial risk control models, medical consultation models), ultra-large-scale computing power support (up to 100 PFlops per cluster), and data security/compliance services, with client spend ranging from tens of thousands to several million RMB (approx. USD 1,400 to USD 700,000+).
- Ecosystem monetization layer: By opening the platform to third-party developers, Baidu is building a service marketplace of “large model + industry applications,” and plans to charge platform commissions.
This “pyramid-style” business structure captures user mindshare through free offerings while locking in enterprise clients with high-value services.
II. Market Impact: Reshaping the Competitive Landscape and the User Value Chain
For C-end users, the free strategy directly challenges the traditional notion that “AI tools = premium services.” On launch day, Ernie Bot traffic surged 300% compared to the previous day, with users spanning students, office workers, and freelancers. Typical application scenarios were concentrated in copywriting generation (45%), learning support (32%), and creative design (20%). One internet professional commented: “The free version already meets 80% of my daily work needs — from writing emails to creating PPTs, my productivity has improved significantly.”
The B-end market has also responded enthusiastically. Small and micro enterprises are the primary beneficiaries: one e-commerce merchant shared that by using Ernie Bot’s API to auto-generate product descriptions, they saved over RMB 20,000 (approx. USD 2,760) in content costs per account each month. Startup teams using its code-assist feature shortened their development cycles by around 30%. This free strategy is likely to accelerate the rollout of “AI + industry” solutions, particularly in standardized scenarios such as customer service, marketing, and data analysis — all of which are poised to replace traditional labor.
However, industry competition is intensifying. Facing rivals like OpenAI, Alibaba Cloud, and Tencent Cloud, Baidu must continuously build differentiated advantages in model performance, scenario adaptation, and ecosystem openness. As one industry observer noted, “Free strategies can quickly capture market share, but long-term competitiveness still depends on the speed of technological iteration and depth of commercialization scenarios.”
III. Challenges and Breakthroughs: Balancing User Experience with Commercial Sustainability
Behind the free model, Baidu faces multiple pressures. First is the cost of computing power. To address this, Baidu is accelerating the large-scale application of its self-developed chip “Kunlun Chip” to reduce unit computing costs. Meanwhile, it is building a diversified monetization system via embedded advertising, enterprise subscription services, and more.
Second is the efficiency of ecosystem co-building. Although API interfaces are open, small and medium enterprises still face talent gaps in technical integration and scenario adaptation. In response, Baidu has launched the Ernie Developer Program, offering standardized plugins, industry solution templates, and technical support in an effort to lower the adoption threshold. Whether this model of “tech empowerment + service support” can truly activate the long-tail market remains to be seen.
IV. Conclusion
The full free launch of Ernie Bot signals that the competition among domestic large models has shifted from “technical showdowns” to an all-dimensional battle of “ecosystem and scenario.” For Baidu, this is both a crucial campaign to win user mindshare and a serious test of its commercialization capabilities. As AI tools transition from “luxuries” to “daily essentials,” the core industry question is no longer “how to build models” but “how to create value with models.”
In the future, the construction of ecosystems around large models, deep cultivation of use-case scenarios, and innovation in business models may give rise to even more disruptive opportunities.
[Disclaimer]: The above content reflects analysis of publicly available information, expert insights, and BCC research. It does not constitute investment advice. BCC is not responsible for any losses resulting from reliance on the views expressed herein. Investors should exercise caution.