2026 China AI Big Model Strategy Comparison of the 5 Giants, DeepSeek Intelligence Spectrum Who is the Dark Horse in The Dark Side of the Moon?

At the beginning of 2026, the pattern of China's AI large model industry has been basically clear. DeepSeek, Zhipu, Dark Side of the Moon, Byte, and Alibaba each occupy the top spot in different dimensions. The five companies have made different strategic choices in the past year - some are betting on open source, some are betting on Agent, some are betting on ToB government and enterprises, and some are betting on consumer applications. This article will not cite the specific financing amount and number of users, but will explain this pattern clearly from the strategic route, business model, key differences, who is the dark horse, and who is under pressure.

DeepSeek’s extremely low price plus open source route

DeepSeek is a Hangzhou deep search company, and its parent company is the private equity hedge fund Magic Square Quantitative. It hit the scene with a series of model releases from 2024 to 2025, and has a strong reputation among domestic and foreign developer circles.

There are three highlights in strategic choices. The first is open source, the core model weights are open to the outside world, and the number of downloads on HuggingFace has long been at the forefront. The second is extremely low price. The API unit price is one of the lowest in the country. The third one is technology-driven. The team is small and almost no investment in sales or PR is done.

The business model is direct call to ToC API plus private deployment of ToB. Its penetration depth in the domestic developer market is very high, but its application layer products are relatively weak, and it mainly relies on API influence to extend its brand. Specific revenue and valuation fluctuate greatly, please refer to the latest public reports.

Wisdom Map ToB government-enterprise plus academic cooperation route

Zhipu AI is from Tsinghua University and has firmly followed the ToB route from the early days. After the GLM flagship series continues to iterate, the smart spectrum is more comprehensively rolled out in the enterprise market.

There are three highlights in strategic choices. The first is ToB. The customer list covers large enterprises such as finance, energy, manufacturing, operators, etc., and there are many public cases. The second is academic cooperation. The joint paper output with top research institutions such as Tsinghua University, Peking University, and the Chinese Academy of Sciences has long been ranked among the top in the country. The third is strong privatization deployment, with complete local deployment solutions, data does not leave the enterprise, and is suitable for strong supervision scenarios.

The business model is enterprise SaaS plus privatized projects. Its ToC experience is relatively weak, and the user base of the Zhipu Qingyan app is not its main battlefield.

Dark Side of the Moon long context plus consumption application route

The Dark Side of the Moon Moonshot is a new generation of AI start-up representatives, and Kimi is the core product. It was the first in China to build a reputation for ultra-long context windows, and has been recommended in long document analysis and in-depth reading scenarios.

There are three highlights in strategic choices. The first is long context. The context window of the flagship version is one of the longest echelons among domestic models, and it handles long document scenarios very smoothly. The second is its strong consumer application. Kimi Smart Assistant ranks among the top domestic large-model applications in terms of ToC user base. The third is brand power. The founder’s personal IP and intensive communication on social platforms make it highly visible among young people.

The business model is Kimi subscription plus K-series API. Its biggest challenge is that ToC burns money, and it needs to rely on financing and subscription conversion to support its basic market in the long term.

Byte Doubao plus multi-terminal integration route

After ByteDance's large model business was independently formed internally, its biggest feature in the domestic market is "multi-terminal integration": Doubao is embedded in the Byte Family bucket, from Toutiao to Douyin to Feishu, the user interface is naturally huge.

There are three highlights in strategic choices. The first is multi-terminal integration. Doubao APP’s user base relies on Byte’s internal ecological diversion very quickly. The second is TRAE IDE’s entry into the domestic AI programming market. The third is the intensive vertical application. Doubao, Jimeng, Button, and TRAE form an application matrix covering Wenshengtu, Wensheng Video, Agent workflow, and AI programming.

The business model is free consumption of applications plus a fee for the ToB Volcano Engine API, with multiple monetization paths. Its challenge lies in that the "single-point breakthrough power" of the underlying model is not the strongest among the five, and it relies more on application layer traffic and ecological integrity to make up for it.

Ali Tongyi plus Qianwen plus Lingji route

Alibaba's large model department Tongyi Laboratory mainly promotes the Qwen series, and its ecological layout is highly tied to Alibaba Cloud.

There are three highlights in strategic choices. The first is cloud service integration. Alibaba Cloud Lingji DashScope is one of the largest model API service platforms in China. The second is open source. The whole Qwen family is open source and has long been at the top of HuggingFace in terms of downloads. The third is internationalization. Qwen is actively promoted in Southeast Asia and the Middle East and has many overseas cooperation cases.

The business model is Alibaba Cloud API plus overseas markets plus Qwen open source ecosystem. Its challenge is that the domestic consumer application layer is relatively weak, and the user base of Tongyi Qianwen APP is not its main battlefield.

Key differences among the five

First, technological leadership. Zhipu has a high comprehensive IQ, DeepSeek has strong reasoning, Kimi has long context, Doubao has smooth Chinese scenes, and Qwen has a deep open source ecosystem. Each of these five companies has a label that people will remember.

Second, the health of the business model. Zhipu's ToB revenue is stable, byte-embedded advertising has strong monetization, Alibaba Cloud rates continue to increase, DeepSeek's cash flow relies on open source to drive the developer community, and Kimi is still in the climbing stage of ToC transfer payment.

Third, user base and ecology. Doubao has the largest number of C-end users, Kimi ranks first among the new generation of consumer applications, Zhipu has the deepest breadth of enterprise customers, DeepSeek has the best reputation in the developer community, and Qwen has the largest number of open source contributors.

Fourth, financing and valuation. Byte and Alibaba are internal departments of large companies and are usually not valued separately; the valuations of Kimi, Zhipu, and DeepSeek fluctuate greatly, and the specific figures are subject to the latest public reports.

Fifth, geo-risk tolerance. Since Zhipu and DeepSeek operate entirely within China, they have lower structural risks on the topic of US sanctions; Byte and Alibaba need to do more zoning within the export control framework.

Who is the dark horse

Based on the actual trends in 2026, the three companies are most worthy of attention.

First, DeepSeek. Technology-driven, extreme open source and cost-effective, it is one of the first choices of domestic developers. If it is willing to do the ToC application layer, it has the opportunity to become a "domestic OpenAI".

Second, wisdom spectrum. The GLM flagship series is a masterpiece in which domestic models approach overseas flagships in multiple dimensions. With stable ToB revenue, it has the opportunity to continue to rise in the enterprise SaaS category.

Third, Byte Doubao. Relying on application integration and user volume, the most complete domestic AI product matrix can be achieved without the strongest basic model. The Seed series plus TRAE makes the "model plus IDE" a closed loop.

Who has structural pressure?

The three companies face challenges in different directions.

First, Kimi needs to answer the question of how to implement the ToC business model in the long term. If the subscription conversion is not enough to support the cost of model iteration, a new round of financing is required. This pressure has always existed in the industry.

Second, Ali Tongyi. The ToB of cloud services is good, but the consumer application layer has never been able to go up. In the public perception of users, "general meaning" is not as rooted as "bean bag" and "Kimi".

Third, players such as Baidu Wenxin and Huawei Pangu, which have not been discussed by the Big Five, have weak iteration rhythm and external user base, and need to be repositioned in the long term.

How do ordinary users and enterprises choose?

Ordinary users. Use Kimi or Doubao for everyday conversation and writing. Use GLM for professional problems. Code scenarios include DeepSeek and TRAE.

Small and medium enterprises. For customer service and email automation, the lightweight version of Zhipu is a common combination; for internal knowledge base, use Zhipu Enterprise Edition or privately deployed Qwen/DeepSeek; for AI programming, choose either TRAE or Cursor.

Large enterprises. A hybrid strategy is more reliable: use GLM private deployment for core business, use DeepSeek API for auxiliary scenarios, use Doubao/TRAE suite for code, and use Qwen international version for overseas business to connect to Anthropic/OpenAI.

FAQ

Which of the five domestic giants is most like OpenAI?

Technically, DeepSeek is the most similar, purely research-driven and open source. But in terms of business model, OpenAI has been fully ToC SaaS-based, and Kimi is the closest to this. Taken together, no one is really like OpenAI. The pattern in China is that five companies have learned different aspects of OpenAI.

Can domestic models replace overseas flagships?

Some can, some can't. Domestic flagships in Chinese scenarios have equaled or surpassed overseas flagships, and daily tasks in code scenarios are close, but there is still a gap between large and complex tasks and expertise in rare fields. There is also a gap in the sophistication of multi-modal scenes. But domestic products are sufficient for a large number of daily scenes, and the price is only a fraction of that overseas.

Is there a bubble in the valuation of domestic models?

Partly yes. Some companies are valued based more on narrative and addressable market size than current revenue. If the ToC business model or ToB revenue does not run through in the short term, it will be subject to valuation correction pressure. The specific valuation figures fluctuate greatly, and are subject to the latest public reports.

Which one is more suitable for ordinary users, Doubao or Kimi?

Kimi is stronger in long document analysis, in-depth reading, and professional Q&A, and is suitable for students, researchers, and knowledge workers. Doubao is stronger in daily chat, AI creation, life inquiry, and social sharing, and is suitable for general consumers. Both are free and do not require scientific Internet access, and can be installed at the same time.

What will happen to domestic models in 2027?

Three trends: the top players continue to differentiate, DeepSeek and Zhipu are stable in the ToB and developer markets, and Kimi and Byte compete fiercely in the ToC application layer; one or two second-tier large model companies may be acquired or exited by the top players; the rise of vertical specialized models, such as medical, legal, and educational large models, will lead to the emergence of new segment leaders.

Source of inspiration: Issue 381 of Ruan Yifeng's "Technology Enthusiasts Weekly" https://www.ruanyifeng.com/blog/2026/01/weekly-issue-381.html