Chinese AI Models (2026): DeepSeek, Qwen, GLM & Kimi

Chinese AI models have become a real option for founders and developers in 2026, mostly for one reason: price. The main families — DeepSeek, Alibaba's Qwen, Z.ai's GLM and Kimi — all sell API access through their own developer platforms, often at rates well below Western flagship models. They also come with different trade-offs on data location, terms and support.

This guide is a landscape, not a leaderboard. It does not rank models by benchmark scores, because those change weekly and we are not going to invent them. Instead, for each Chinese AI model family it covers what it is, how you access it, what the official API pricing page says, and which privacy or policy points to check. Prices and model names come from each vendor's official pricing page, checked on November 10, 2026, in US dollars. They change often — confirm before you build on them.

If you are choosing a general assistant rather than an API, start with our ChatGPT alternatives guide.

Who this guide is for (and what it is not)

This is for founders, freelancers and developers asking practical questions:

• Can I call a Chinese AI model from my app to cut API costs?
• Which providers publish clear English pricing and an OpenAI-compatible API?
• What do their privacy policies say about where my data goes?

It is not a live benchmark table, a "best Chinese AI" ranking, or legal advice on whether your company may use these services. Those answers depend on your data, your customers and your jurisdiction.

What "Chinese AI models" usually means in 2026

When people search for a Chinese AI model, they usually mean large language models built by companies headquartered in China and offered to developers worldwide through an API, sometimes with open weights too. The four families that publish English developer documentation and dollar pricing are:

There are other Chinese models, but if we could not document access and pricing from an official page the same day, we left them out.

DeepSeek

DeepSeek is the name most people know. We cover the head-to-head with OpenAI in DeepSeek vs ChatGPT, so here are just the pricing facts.

DeepSeek's Models & Pricing page lists two API models:

Two details matter for budgeting:

• Peak and off-peak pricing. DeepSeek says off-peak rates are half of peak. Peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday, excluding Chinese public holidays. Everything else, including weekends, is off-peak.
• 1M-token context and a maximum output of 384K tokens, with both an OpenAI-format and an Anthropic-format base URL. Vision is listed for deepseek-flash only.

DeepSeek also sells standalone Search and Fetch APIs at $0.75 per 1,000 successful requests each.

Qwen (Alibaba Cloud Model Studio)

Qwen is Alibaba's model family, sold to developers through Alibaba Cloud Model Studio. Its pricing page is long because prices vary by deployment region and sometimes by prompt length tier. A few current examples for the International (Singapore) deployment:

What to know before you use it:

• The same model costs different amounts in different regions. For example, the page lists qwen3.8-max at $1.65 input / $4.951 output in the China (Beijing) and some Global deployments, and $2 / $6 for the US-only deployment in Virginia.
• Tiered pricing applies to the whole request. If a request's input lands in a higher tier, Alibaba bills all its tokens at that tier's price.
• Free quota is Singapore-only. Some models list a free quota (for example, 1 million tokens for 90 days) only in the Singapore region.
• Batch is 50% off on models that support it; batch and context-cache discounts cannot be combined.
• Model Studio documents OpenAI- and Anthropic-compatible API calls, so existing client code often needs only a new base URL and key.

GLM (Z.ai)

GLM is the model family sold by Z.ai. Z.ai's pricing page lists the latest models first:

Z.ai lists cached input storage as "limited-time free" on these models, a web search tool at $0.01 per use, and a separate monthly coding plan for tools like Claude Code and Cline (its docs say plans start from $18/month). This guide is not a GLM-5 benchmark post; if you want scores, read Z.ai's own release notes and treat third-party leaderboards with care.

Kimi

Kimi is the model family behind the Kimi apps. Its API platform docs (checked November 15, 2026) list Kimi K3.1 Pro as the flagship for long-horizon coding and knowledge work, alongside Kimi K3, K2.7 Code and K2.6. Facts the official page states:

• K3-series models support a 1,048,576-token context window; K2-series models support 262,144 tokens.
• API inference is pay-as-you-go with no subscription, and is separate from the Kimi membership and Kimi Code products.
• Context caching is enabled automatically for repeated prefixes, with a default 5-minute TTL.
• Batch inference on kimi-k3.1-pro and kimi-k3 is billed at 60% of the standard price.
• From October 31, 2026, K2-series models are no longer available to new users, and the platform plans to retire all K2 models by the end of December 2026.

Kimi's official USD rates per million tokens (pricing page, checked Nov 15, 2026; prices exclude taxes):

On the official sheet the newer kimi-k3.1-pro is priced lower than kimi-k3 for both input and output. Batch jobs on either model cost 60% of these rates.

Access, official pricing and API notes

For a sense of scale, Anthropic's cheapest current model, Claude Haiku 5.5, is $0.10 / $0.50 per million tokens for prompts up to 100K tokens (see Claude API pricing), and OpenAI's gpt-6-luna is $0.10 / $0.50 (see OpenAI API pricing). In other words, the low-cost Western tiers sit close to these Chinese "flash" tiers on the official sheets in November 2026. The bigger gaps tend to be at the flagship level. Compare the exact models you would use, at the same date, before deciding.

Practical tips:

• Most offer OpenAI-compatible endpoints, so you can test by changing the base URL and model name in existing code.
• Run your own evaluation. Use 20–50 real prompts from your product and compare outputs side by side. A public leaderboard is not your workload.
• Check rate limits and concurrency. DeepSeek, for example, lists concurrency limits per model on its pricing page.

Privacy, data residency and policy caveats

This is where Chinese AI models differ most from the tools many Western teams already use, and where you should read the source documents yourself.

• DeepSeek: its privacy policy states: "To provide you with our services, we directly collect, process and store your Personal Data in People's Republic of China."
• Qwen: Alibaba Cloud Model Studio sells different deployment regions (for example Singapore, US Virginia, Germany Frankfurt, China Beijing), each listed separately on the pricing page. Pick the region deliberately and read the terms for that region.
• GLM and Kimi: read the current terms and privacy policy on Z.ai and the Kimi platform for where data is processed and how API inputs may be used.

Also consider:

• Your own customer contracts. Some enterprise or government customers restrict which AI vendors may process their data. Check before you route their data anywhere.
• Open weights vs hosted API. Several of these families also release open-weight models. Running open weights on your own infrastructure changes the data question completely — but it also changes your hosting bill and your security responsibilities.

This article does not rate any provider as "safe" or "unsafe". It points you to what each one officially says.

How to choose — and when to stay with ChatGPT, Claude or Gemini

A Chinese AI model is worth testing when:

• API cost is your main constraint and your data rules allow it.
• You need strong Chinese-language output for a Chinese-speaking market.
• You want open-weight options you can self-host.

Stay with a Western provider (or keep one as your primary) when:

• Your customers or contracts require it, or you handle regulated data.
• You rely on a mature product around the model, such as Claude Code, ChatGPT's apps, or Gemini inside Google Workspace.
• Support, SLAs and invoicing matter more than the per-token price.

For the broader comparison, see Claude vs ChatGPT, Claude Pro vs Max for plan prices, and DeepSeek vs ChatGPT.

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