Tongyi Qianwen vs Wenxinyiyan vs Kimi, how to choose, 2026 actual test comparison of the three domestic AI giants

Tongyi Qianwen, Wenxinyiyan, and Kimi are the three most discussed domestic products in the field of large AI models in China in 2026. The three companies are following different routes. Alibaba Tongyi relies on ecological integration, Baidu Wenxin relies on search traffic and enterprise services, and Dark Side of the Moon Kimi started by relying on long text and now expands to Agent. The question that ordinary users and developers are most concerned about is always: how to choose among these three companies for daily use. This article makes a horizontal actual measurement comparison from six dimensions: product positioning, model capabilities, entry experience, long text, programming, and price. It does not presuppose that any one is the best. The goal is to provide a decision-making reference that allows you to choose according to your needs.

1 Background and product matrix of the three manufacturers

Tongyi Qianwen is a large model series launched by Alibaba Damo Academy. The product matrix covers the web version, App, and the Qwen series of open source models on Alibaba Cloud. The ecosystem extends to Alibaba products such as DingTalk, Taobao, and Quark Search.

Wen Xinyiyan comes from Baidu and is positioned as an AI upgrade and enterprise-level AI solution for Baidu search. Wenxin's large model appears in the AI ​​dialogue entrance on the right side of the Baidu search box, Wenxin Yiyan's independent web version and App. Baidu Smart Cloud ERNIE series API serves enterprise-level customers.

Kimi is a conversational product launched by Dark Side of the Moon. It started with an ultra-long text context window and quickly accumulated users from 2024 to 2025. In 2026, Kimi has expanded to the K2 model and Agent directions. The product matrix includes Kimi web pages, Kimi smart assistant apps, and Kimi APIs open to developers.

2 Comparison of entrance and registration thresholds

The entrance experience is the first level of contact for ordinary users. Tongyi Qianwen can log in directly at tongyi.aliyun.com and register with an Ali account or mobile phone number. The threshold is very low. Wen Xinyiyan logs in to yiyan.baidu.com, one-click login with Baidu account. Kimi visit kimi.com or kimi.moonshot.cn and register with mobile phone number verification code.

All three support access from mainland China and do not require a VPN. The mobile app is available in the domestic App Store and major Android app markets. Search the brand name and download it directly. The registration process is all available within tens of seconds. There is not much difference between the three companies in this regard, so novices do not need to worry about the threshold.

If you are already using Ali Dingding or Quark, the Tongyi entrance is the most natural. If you often search on Baidu, Wenxin is more integrated. If you purely want an independent conversation tool, Kimi is relatively refreshing without ecological binding.

3. Chinese writing and general conversation skills

Chinese writing is the strength of domestic AI models, and the overall levels of the three are relatively close, far exceeding the Chinese fluency of overseas models. Specific to the style, there are subtle differences among the three. Tongyi Qianwen is relatively stable, with a neutral and controllable writing style. It is suitable for scenarios that require standard output, such as report writing, email drafting, and product copywriting. Wenxinyiyan's writing style is literary and artistic, good at ancient literary expressions, and has unique advantages in handling poetry and prose. Kimi is more rational and strong in logical sorting content. Long document analysis and research report integration are its comfort zone.

In general conversation scenarios, if you just ask some common sense, check information, and chat, all three companies can give you qualified answers. The difference lies in the depth of questioning and contextual memory. Kimi’s advantage of long context is reflected here. After several rounds of dialogue, the details mentioned at the beginning can still be remembered. General meaning is more cautious on factual issues and will take the initiative to explain the uncertain parts. Wenxin can seamlessly call Baidu search results, and has advantages in time-sensitive queries.

4 Long text processing comparison

Kimi's core selling point has always been long context. Its ability to feed documents with hundreds of thousands or even millions of words for summary, Q&A, and rewriting has established a reputation among domestic models. Kimi can handle entire e-books, hours of conference subtitles, and hundreds of pages of legal contracts without losing track of what's going on.

Tongyi Qianwen's long context support is also continuing to improve. The context window of the Qwen series open source model has reached a level similar to that of Kimi in the latest version. The gap in daily long document processing experience has been narrowed. Wen Xin Yi Yan is not the main focus on long texts. It will feel the upper limit when dealing with ultra-long content, so it is suitable for medium-length dialogue scenes.

Practical recommendations for selection. If you often deal with large files such as complete PDFs, entire books, or several hours of audio transcription, give priority to Kimi. For handling daily conversations and medium-length documents, both Tongyi and Wenxin are capable. It depends on which writing style you prefer.

5 Programming and coding skills

Programming ability is the most important dimension for developers. All three companies have released model versions optimized for code scenarios in 2026. Tongyi Qianwen's Qwen series has a dedicated Code model, which is open source on Hugging Face and Alibaba Cloud. According to actual tests, the code completion and bug repair levels in mainstream languages ​​​​such as Python, Java, and Go are close to the top echelons.

Wenxinyiyan's optimization in programming scenarios is relatively slow, and it is suitable for simple code generation, but may not be as good as the other two for complex engineering-level tasks. The Kimi K2 series has invested heavily in the Agent direction and has made progress in tool calling and multi-step task planning. It is suitable for programming assistance work that requires planning capabilities.

If you are writing scripts, writing gadgets, and debugging bugs on a daily basis, Tongyi's code model has the best reputation in China. If you are doing Agent applications and need AI to complete multi-step development tasks independently, Kimi K2 is worth a try. If you just write comments, explain code, and change simple functions, all three can be used.

6 Multi-modal capability comparison

Multimodality is one of the focuses of the big model competition in 2026. Tongyi Qianwen supports image input and image generation. It also has a dedicated video generation model Tongyi Wanxiang, which has a high degree of ecological integration. Wenxin Yiyan supports image understanding. Baidu’s own Wenxin Yige tool, Wenxin Yige, exists independently and is linked to dialogue products but has not yet been fully integrated. Kimi currently focuses on text, and its multi-modal capabilities are relatively weak, which is its shortcoming.

If your workflow requires frequent processing of images, videos, and PDF screenshots, Tongyi Qianwen is the most complete choice in China. Wenxin is suitable for search image query scenarios. Kimi is suitable for deep tasks with pure text. If overseas users use Gemini or GPT-4 series for comparison, they will find that there is still a gap in coverage of domestic multi-modal models, but the understanding of Chinese scenes is better.

7 Pricing and Subscription System

All three offer a two-tier model of free version plus paid subscription. The free version is basically sufficient for daily use, with limitations on the number of calls and model versions. The paid version unlocks the highest specification models, longer context, and higher call frequency.

Specific prices are subject to adjustment at different times, please refer to the latest official announcement. Overall, the subscription price of domestic models is significantly lower than the international pricing of ChatGPT Plus. Monthly subscriptions are basically in the range of tens of yuan, and some versions have discounts or value-added services. Developers are billed by token for API calls, and the price is much cheaper than overseas models, making it suitable for cost-sensitive product integration.

Decide whether to pay. If you use it more than 20 times a day or do long tasks that require stability, the paid version will have a significantly more stable experience. It's enough to talk about the free version occasionally.

8 API access difficulty

Developers care about the ease of API calls and the quality of documentation. The Tongyi Qianwen API documentation on Alibaba Cloud is relatively complete. The SDK covers Python, Java, Go, and Node. The ecosystem is mature and there are few pitfalls. Baidu Smart Cloud's Wenxin API documentation is also complete, but the enterprise-level process is relatively heavy, and it may be a little troublesome for small developers to use it. Kimi API has a simple interface, is compatible with the OpenAI SDK calling format, has low migration costs, and can be run with just a few lines of Python code, making it one of the favorites of developers.

If you are already within the Alibaba Cloud system, Tongyi API is naturally the most convenient to access. If you have used OpenAI SDK and want to switch to a domestic model with minimal changes, Kimi's compatibility agreement is the easiest to use. If it is an enterprise-level private deployment requirement, Baidu Smart Cloud's solution has the highest completeness, but the process is also the heaviest.

9 Privacy and Data Security

Domestic large models have several commonalities in data compliance. User data is stored in domestic servers, which complies with national network security regulations. Real-name registration is required, and API calls have corresponding filing requirements. These are advantages for domestic enterprise users, as data does not leave the country and reduces compliance risks.

Specific to privacy protection, the terms of service of all three companies allow user input to be used to improve the model, and the enterprise version and API version can turn off the use of training data. For usage involving commercial secrets, it is recommended to directly use the API plus enterprise version agreement. It is perfectly fine to use the consumer version for ordinary conversations.

10 How to use it together

In actual experience, deep users often use three companies in combination. Common meanings are used for daily general conversations and copywriting, and the writing style is stable and output is controllable. When it comes to search timeliness issues, the real-time nature of Baidu search is its natural advantage. Kimi is used for long document analysis, research report reading, and in-depth knowledge compilation, and its long context capabilities are fully utilized. Each company can create a free account and switch according to the task type for the best overall experience.

When integrating products, developers are advised to give priority to one company as the main one, decide whether it is Tongyi, Wenxin or Kimi based on cost and scenario requirements, and then use other companies as backup. In this way, you can not only enjoy the stability of a single company, but also be able to quickly switch when the main force has problems.

11 Frequently Asked Questions FAQ

Tongyi Qianwen Wenxinyiyan Kimi Which one is the best?

There is no absolute answer, it depends on your specific usage scenario. Tongyi Qianwen has balanced comprehensive strength and high ecological integration, making it suitable to be the main tool. Wen Xinyiyan's search is highly time-sensitive and can be easily used by Baidu ecological users. Kimi has excellent long context capabilities, and processing large documents is its advantage. It is recommended that each company register a free account and try it for a week, and then choose the one that is most convenient for you based on your workflow.

How big is the gap between domestic AI and ChatGPT?

The gaps vary across different dimensions. In terms of Chinese expression and localization scenes, domestic products have basically tied or even surpassed them. In terms of general reasoning capabilities and complex tasks, the top overseas model GPT-4 Claude Gemini is still ahead to a certain extent, but the gap is significantly narrower than in 2024. Coding ability general meaning Qwen Coder is close to the first echelon. Multimodal completeness is slightly ahead overseas. Domestic products are basically sufficient for ordinary daily users, but serious technical work may still require a mixture of Chinese and foreign products.

Can Kimi really handle million-word documents?

Kimi's super-long context window has indeed reached the million-word level in the officially released version. In actual use, it should be noted that the longer the document, the more distracted the model's attention will be to details. The best practice is to first let Kimi make an overall summary and then ask detailed questions about specific paragraphs. The experience of processing documents ranging from hundreds of thousands to one million words is stable. When approaching the upper limit, omissions or confusion may occur. It is recommended to split extremely large documents before processing.

Can domestic AI code be used commercially?

Technically yes, the copyright of the code generated by the domestic model belongs to the user and can be used in commercial projects. It is necessary to pay attention to the agreement on the scope of use in the terms of service. Some models explain the source of training data. If the generated code directly copies the code blocks of the open source project, it must still comply with the original agreement. Before commercial use, it is recommended to conduct a code review to avoid unintentional references to code with restrictive protocols such as GPL.

Choose domestic AI or overseas AI

If you mainly work in China, domestic AI is more friendly in terms of network stability, compliance requirements, and payment convenience. It is recommended to use at least one domestic AI as your daily main force. If overseas service integration, English scene depth, and cutting-edge capabilities are required, overseas models are still the first choice. The most ideal combination is domestic base and overseas reinforcement, switching between the two according to the task, and the best overall experience.