DeepSeek for Singapore businesses: the real cost, data risks and what to do

DeepSeek’s 10 September 2026 update puts the estimated bill for drafting 1,000 email replies at S$1.15 in our example. ¹² The more important decision is where those customer emails end up.

That price is for the model’s work, not a finished email system. And a cheaper United States (US) option costs less still. ²

Our view: DeepSeek deserves a trial, not blind trust or automatic rejection. Start with public or made-up information. Decide where customer data may go before staff start pasting it into a chat box.

What is DeepSeek, and why does it matter?

DeepSeek is a Chinese artificial intelligence (AI) developer. ³⁴ Its models—the software that produces answers—power its chat and business services. ⁵⁶

It released the DeepSeek V4 preview on 24 April 2026, with downloadable model files. ⁷⁸ Its own coding results put V4 Pro close to leading US competitors on selected tests. ⁹ That makes it a serious candidate to test, not a reason to cancel your existing service.

The downloadable files are called open weights: the model’s learned settings, which others can use to run it. V4’s files come with a permissive licence. ⁸¹⁰ You are therefore not limited to using DeepSeek’s own website or service. ¹¹

Free files do not mean a free working system. Someone still needs to run them on suitable computers. ¹¹ For most small firms, our advice is to buy a managed service rather than make that your next technology project.

One update matters: V4 is no longer the latest version. V4.1-Flash arrived on 10 September and replaced V4-Flash. ¹¹² Check dates before following an older buying guide.

What this means for you: Treat DeepSeek as another supplier to test, not a bargain you must rush to buy.

How much does DeepSeek cost for a Singapore business?

An application programming interface (API) connects your business software to an AI service. It lets your email system send work directly, instead of someone copying text into chat. ⁶

API bills count tokens, small pieces of text that can be words, numbers or symbols. ¹³ You pay for what the model reads and writes.

For this estimate, our email-size assumption is 1,000 tokens read and 500 tokens written per reply. We assume no discount for reusing previously processed text. ² These are usage estimates, not quotes for installing or operating an email system.

What it costs for a real job

Estimated AI usage cost for 1,000 customer-email replies, using that same assumed workload throughout. ²

Service	Estimated cost	Our buying view
DeepSeek V4.1-Flash, peak	S$1.15	Cheap enough to trial
DeepSeek V4.1-Flash, off-peak	S$0.58	Useful for non-urgent work
OpenAI GPT-6 Luna	S$0.45	Include this cheaper option
OpenAI GPT-6 Sol	S$8.96	Test whether results justify it
Anthropic Claude Sonnet 5	S$8.96	Compare editing needed
Anthropic Claude Opus 5.5	S$17.92	Pay more only for a reason
Google Gemini 3.1 Pro Preview	S$10.24	Judge on your actual work

Sources for this table: ²

The estimates use published prices checked on 25 September and the previous day’s exchange rate. ^14151617182

Here is the honest surprise: roughly S$1 versus S$9 per email batch is not a business-changing saving. ² Our view: if the dearer service needs less checking, the price gap may barely matter.

DeepSeek also charges peak rates from 9am to noon and 2pm to 6pm Singapore time on weekdays, excluding Chinese public holidays. ¹⁹²⁰ Off-peak rates are half as much. ¹⁹ Budget for peak prices during office hours, rather than the cheapest advertised rate.

What this means for you: Compare acceptable replies, not just prices. At this workload, data protection and staff effort deserve more attention than the model bill.

Is DeepSeek safe for customer data in Singapore?

Start by separating the model from the company running it.

DeepSeek’s own privacy policy says it collects, processes and stores personal data in China. ⁴ It also lists training and improving its models among its uses of data. ²¹ Its API terms are governed by mainland Chinese law. ²²

Our advice: do not assume customer emails sent to that service stay in Singapore, or are excluded from model improvement.

Singapore’s Personal Data Protection Act (PDPA) requires comparable protection when personal data is transferred overseas. ²³ The Personal Data Protection Commission (PDPC) says your organisation remains responsible when using an overseas service provider. ²⁴

That is not a ban on foreign AI. It means you need a defensible arrangement, rather than assuming the vendor handles everything. ²³²⁴ A contract providing comparable protection and specifying the countries involved is one recognised route. ²⁵

A cloud provider is another company running the model for you. Running it on your own servers means using computers you control. Those choices deserve separate assessments.

Your ways to use DeepSeek, compared

Effort, relative risk and suitability below are our judgement, not legal ratings.

Route	Where your data goes	Rough cost or effort	PDPA risk for customer data	Best for
DeepSeek’s own app or API	China under its service policy	Lower starting effort	Higher scrutiny needed	Public, non-personal drafts
A cloud provider hosting it	Depends on storage and processing settings	Check quote and contract	Check contract; not automatically lower	Teams with technical support
Your own servers	Your controlled systems, if isolated	Higher operating effort	Lower external-transfer exposure; more responsibility	Teams able to operate it
A US model instead	Check provider and region	Lower starting effort	Overseas-transfer rules still apply	Firms already using that supplier

Sources for this table: ^{4262711151624}

A Singapore label needs checking too. Alibaba lists Singapore among its DeepSeek regions. ²⁸ But its region determines storage location; a separate setting determines where the model processes requests. ²⁶

Its Singapore option uses an International processing setting without specifying the physical countries involved on that page. ²⁶ Ask for both storage and processing locations in writing.

Likewise, running downloaded files on isolated computers is different from sending requests to DeepSeek’s service. ⁴¹¹ Our view: that can address the external-transfer question, but it is not a shortcut around security work.

For a clinic or customer-service team, I would start with invented records. Choose the approved data route before connecting anything real.

What this means for you: Choose where the data may go first. Then choose the model and the contract that fit that rule.

How good is DeepSeek V4 compared with US models?

A standard test is like a common exam paper. It helps compare models, but it is not your business’s daily work.

DeepSeek reported that V4 Pro solved 80.6% of tasks on a coding test. ⁹ The US government’s Center for AI Standards and Innovation (CAISI) measured 74% on the same named test. ²⁹

Who says how good it is

These percentages measure coding tasks solved, not correct customer replies. ⁹²⁹

Evaluator and model	Tasks solved	What the number means
DeepSeek testing its V4 Pro	80.6%	Developer-reported result
CAISI testing DeepSeek V4 Pro	74%	Independent result under its setup
CAISI testing OpenAI GPT-5.5	81%	Ahead in that evaluation
CAISI testing Anthropic Opus 4.6	79%	Also ahead in that evaluation
CAISI testing OpenAI GPT-5.4 mini	73%	Close to DeepSeek in that evaluation

Sources for this table: ⁹²⁹

CAISI says its scores tend to be lower because testing instructions, surrounding software and allowed processing differ. ²⁹ So the gap does not, by itself, establish that someone cheated.

In its April evaluation, published in May, the lab assessed V4 Pro as roughly eight months behind the leading models. ³³⁰ That describes V4 Pro then, not the performance of September’s replacement. These are also different models from the current price comparison. ¹²⁹²

For an ordinary business, our suggested test is simpler: give each candidate the same realistic jobs. Check whether it follows your instructions, misses important details or creates more editing work.

Capability is not a safety certificate. Widely cited US government safety findings from 2025 concern older DeepSeek models, not V4. ³¹ The V4 Pro evaluation reports capability and cost results, not a fresh safety clearance. ³²

What this means for you: Use published scores to shortlist models. Use your own work to choose one.

Why are the US and China arguing about DeepSeek?

The chip argument mixes up teaching a model with running it afterwards. A chip that can run a model does not prove which chips taught it. ³³

DeepSeek’s report describes testing its approach on both Nvidia and Huawei hardware. It does not name the hardware used for the model’s main training. ³⁴ That distinction matters when judging claims about independence from US technology.

Was it trained on Huawei chips? Who says what

Source	What it says	How solid that is
DeepSeek’s technical report	Tested on Nvidia and Huawei; training hardware unnamed	Primary evidence for testing, not training
The Register	Running on Huawei does not establish Huawei-only training	Distinguishes testing from training
Tom’s Hardware	Asserts training used domestic Ascend chips	Contested; not established by DeepSeek’s report
ChinaTalk	Says training still used Nvidia	No source cited for that assertion
Reuters, reported by CNBC	Describes adaptation for Huawei technology	Does not establish training hardware

Sources for this table: ^3433353637

We don’t know yet which hardware did the main training. A documented disclosure from DeepSeek would help settle it.

There is a separate dispute about copying model capabilities. A US State Department cable dated 24 April instructed diplomats to raise allegations involving DeepSeek and other Chinese firms. ³⁸ It also alleged that copying campaigns removed safety protections. ³⁹

The Chinese Embassy rejected related accusations as baseless. ⁴⁰ These remain allegations, not established findings to repeat as fact.

Our read: the chip question barely matters to a small firm drafting product descriptions today. Supplier continuity, contractual protection and acceptable results matter more. Neither American nor Chinese branding answers those questions for you.

What this means for you: Keep geopolitical allegations separate from proven service terms and the risks of your actual task.

Has Singapore banned or endorsed DeepSeek?

Singapore’s published approach is assessment, not a blanket DeepSeek ban or endorsement. ⁴¹⁴²

The Government’s March 2025 parliamentary response announced no ban. It described evaluating technology through performance, security and resilience. ⁴¹ In everyday terms: does it work, does it protect information, and can you depend on it?

In July 2025, Minister Josephine Teo welcomed innovations such as DeepSeek for bringing costs down. She also said organisations must evaluate those factors and reach their own conclusions. ⁴²

That is permission to exercise judgement, not a government safety guarantee. The statements also predate V4’s release. ⁷⁴¹⁴² Do not turn them into approval of a particular model or hosting arrangement.

Our view: a sensible internal rule should name the approved service, permitted information and person responsible for checking changes. A rule that says only Chinese AI prohibited or US AI approved leaves the important work unfinished.

What this means for you: Make a documented business decision. Do not mistake the absence of a ban for approval to upload customer records.

What should you check before using the DeepSeek API?

There is a naming wrinkle worth putting in front of your developer.

DeepSeek’s September announcement says requests labelled deepseek-v4-pro would go to V4.1-Flash from 14 September, at Flash rates. ⁴³ In plain English, software asking for Pro could be served Flash under the old name.

But the pricing page checked on 25 September still lists that label as V4-Pro-0813, with Pro prices. ⁴⁴⁴⁵ The published statements conflict. We don’t know yet which description a particular live request will follow.

Do not buy on the label alone. Ask your developer to make a test request, inspect the response and check the charge. If that does not settle it, get confirmation from the provider.

The announced name for V4.1-Flash is deepseek-flash. ¹ Keep the model name, provider, test date and actual bill with your trial results. Our advice is to repeat the checks whenever the provider changes the service.

What this means for you: Confirm what is actually answering and what you are actually paying before connecting the service to daily operations.

What to do now

SGAI founder Jay Qin’s experience is a reminder that a working demo is not the same as a usable service:

At a major Wall Street firm in 2022, I built an automated daily-summary tool on OpenAI. It worked, but internal security and approval bottlenecks stopped it shipping; I was let go for pushing it.

Our lesson for small firms: move quickly, but set the data rule before the experiment becomes a habit. You do not need an elaborate committee to decide who approves a tool and what staff may send it.

If you are just exploring: try DeepSeek with public product information or invented customer messages. Compare the answers with your current tool. Judge usefulness, editing effort and whether instructions are followed.

If you handle customer or patient records: pause real-data uploads until someone has checked the contract, storage location and processing countries. Your overseas-transfer responsibility remains yours. ²³²⁴ Use made-up examples while those checks happen.

If you already pay for another model: test the cheaper option from that supplier too. OpenAI’s Luna costs less than DeepSeek in our email example. ² Our view: changing supplier should solve a practical problem, not merely follow the headlines.

If you have a technical team: compare managed hosting with running downloaded files yourself. Require a clear account of operating effort and data flows. Verify the model behind each service label before accepting the results.

For the first trial, our recommendation is to let AI draft and a person approve. Expand only when the results and the data arrangement justify it.

What this means for you: Start with a small, reversible trial and no real customer records. Keep DeepSeek only if it makes the work better—not merely the bill smaller.