Chinese vs American AI Models: Should Your Business Use Them?

Choosing an AI model for a business application also means choosing who operates it and receives your data. The CAISI evaluation of DeepSeek V4 Pro found differences between the vendor results and its own test suite. A ranking from one evaluation is not a verdict on your workload.

The real question is the deployment, not the flag

Most of the debate circles the model's origin. Risk actually lives somewhere else, in where the model runs. The same Chinese model carries a completely different profile depending on how you deploy it.

A hosted vendor API can simplify the operational setup. It also sends your data into the provider's jurisdiction, and the Chinese API adds the further question of who else can reach it.

Self-hosting is the far end. Open weights may permit operation on your infrastructure. Check the exact version's licence and hardware requirements. Self-hosting gives operational control, but connected tools, logging and outbound traffic can still expose data.

Between the two sits the compromise. A Chinese-origin model runs at a Western host who handles operations for you.

Assess the complete application rather than treating self-hosting as proof that data cannot leave.

Three risks to weigh

The first is the processing arrangement. Establish the legal basis, the roles of the parties and any conditions for transfers outside the EEA. Whether a processing agreement is required depends on the provider's role. Neither model origin nor self-hosting replaces that assessment.

The second is unclear responsibility. Establish your role and duties for the actual use, whether hosted or self-hosted. Self-hosting neither removes those duties nor transfers every obligation to one party. Our AI Act checklist provides a starting point.

The third concerns customer requirements. Public-sector and regulated customers may impose procurement and security conditions on the provider. Check them before committing.

A decision framework for a European firm

Match the model to the sensitivity of the task rather than to its flag.

Select processing for regulated and confidential data against the actual contractual and technical requirements. An EU self-hosted model and a hosted service may each require further controls. Neither arrangement establishes compliance by itself.

High-volume internal work that is sensitive to cost but not to confidentiality is the opposite case, and self-hosted open models may be worth evaluating. Include hardware, operations and output corrections in the cost comparison.

Selling into the public sector or a regulated business? Check the procurement rules on model origin and keep a Western alternative within reach. This is exactly why it pays to build the application so the model can be swapped out, as we describe in our GPT-5.6 versus Claude Fable 5 comparison.

Model choice is drifting away from engineering and into strategy. You can work this through against a real process and real data. Our strategic consulting team will say where a Chinese model is an advantage and where it is risk you do not need.

The race between China and the US will run for years yet. The decision about which model touches which of your data has to be made now, and it can be made calmly.