DeepSeek vs ChatGPT: Price, Open Weights and Where Your Data Goes

The short answer: if you pay per token through an API, or you need a model you can run on your own hardware so data never leaves the building, DeepSeek is hard to argue with: the weights are published under the MIT licence and its flagship costs a fraction of OpenAI’s. If you are one person who wants a single assistant that writes, draws, talks, searches and reads your files, ChatGPT is the more complete product by a distance. And one fact sits underneath both: DeepSeek’s own app stores your data in the People’s Republic of China under Chinese law — which, for many companies and public bodies in the Gulf, settles the question before quality is even discussed.

At a glance

These two are not really selling the same thing. ChatGPT is a consumer product sold by subscription. DeepSeek is a Chinese lab that releases its models openly, runs a free chat app, and sells API access at very low rates. So the table covers both faces: what an ordinary user gets, and what a developer pays.

DeepSeek’s prices move with the clock. The figures above are peak rates; off-peak is exactly half. That matters more than it sounds, because the peak window lands squarely on the Gulf working morning — more on that below.

Open weights are the real headline, not the benchmark

Most comparisons open with “which one is smarter?” It is a fair question, but it is not the thing that most separates these two. The fundamental difference is that DeepSeek publishes the model itself — the actual weights — for anyone to download and run wherever they like. The V4.1-Flash model card on Hugging Face states plainly that the repository and weights are licensed under MIT, one of the most permissive licences there is: commercial use, modification and redistribution are all allowed.

In practice that means a bank, a hospital or a university can run the model inside its own data centre, and no prompt ever leaves the premises. It also means cloud providers and inference platforms can host the same model in regions of your choosing, so you can use DeepSeek’s model without touching DeepSeek’s servers. ChatGPT offers nothing equivalent. OpenAI’s models run where OpenAI runs them; the most you control is a regional processing option on certain business and API arrangements.

Open does not mean small, though. The model card describes Flash as a 552-billion-parameter backbone that activates only a small slice of itself per step. This is not something you spin up on a laptop out of curiosity. Running it at full quality takes serious hardware and someone who knows what they are doing. Quantised builds exist for the popular local-inference tools, but they trade away some quality, so test them on your own workload before you depend on one.

The upshot: open weights are mainly a gift to organisations and developers. Someone tapping away in the DeepSeek phone app is using DeepSeek’s servers like any other cloud service, and the openness of the weights does nothing for them directly.

Cheaper — dramatically, but not everywhere

The received wisdom is that DeepSeek is cheaper than everyone. The truth is a little more interesting. Compare flagships and the gap is enormous: V4-Pro costs $1.32 per million input tokens and $3.96 per million output tokens at peak, against $10 and $50 for GPT-6 Astra. That is roughly eight times cheaper on input and twelve times on output, before the off-peak discount.

Drop down to the bottom of OpenAI’s range, however, and GPT-6 Luna undercuts DeepSeek Flash at peak: $0.10 in and $0.50 out, versus $0.30 and $1.20. For genuinely simple work — classifying messages, pulling fields out of a form — DeepSeek may not be the cheapest option at all. What it really offers is a large, reasoning-capable model at a price close to other vendors’ small ones.

A worked example

Say you process 1,000 documents at 2,000 input tokens and 500 output tokens each: two million tokens in, half a million out.

• DeepSeek Flash, peak: about $1.20.
• DeepSeek V4-Pro, peak: about $4.62; off-peak about $2.31.
• GPT-6.1 Sol: about $9.
• GPT-6 Astra: about $45.
• GPT-6 Luna: about $0.45.

These are computed from list prices, not real invoices, and they carry a caveat that matters for anyone working in Arabic: each vendor tokenises text differently, and the same Arabic paragraph can come out as a very different token count on each. Run a sample of your real text through both APIs and compare the bills before you trust any example, including this one.

The cache discount

An under-appreciated line item: if your requests share a long common prefix — a fixed system prompt, a reference document sent every time — DeepSeek bills the repeated part at a tiny rate, $0.006 per million tokens on Flash at peak. For applications that resend a long context on every call, this is often the single biggest saving on the whole invoice.

And for everyone else?

The maths is simpler. The DeepSeek app is free with no paid tier on offer; ChatGPT is free with limits and paid plans start at $8. If what you want is text chat and reasoning, DeepSeek’s free app is generous. But free is not costless — the price is paid in data and where that data lives, which brings us to the next section.

Where your data goes

This deserves precision rather than alarm. DeepSeek’s published privacy policy says it collects, processes and stores personal data directly in the People’s Republic of China. Its terms of use are governed by mainland Chinese law, with disputes heard in courts where the company is registered in Hangzhou. The policy says inputs may be used to train and improve its models, and it gives users an explicit right to opt out of that.

What does that mean for you? If you are asking for a recipe or polishing a public blog post, probably nothing. If you are pasting client contracts, staff records or internal email, you are moving information into another jurisdiction, under laws that differ from your own, with no practical oversight of how it is handled. To be fair, a version of the same point applies to ChatGPT: its data is generally processed outside the Middle East, and consumer conversations may also be used for training unless you switch that off in settings.

So the difference is not that one is safe and the other dangerous. It is the kind of protection available. OpenAI sells business plans with contractual commitments and offers regional processing on its API for a 10% surcharge. DeepSeek offers something theoretically stronger — take the model and run it yourself, and your data goes nowhere. But the official app, which is what most people actually use, offers neither.

What matters if you are in the Arab world

Gulf data rules come first

Saudi Arabia and the UAE both have personal data protection laws that regulate sending personal data across borders, and government entities and regulated sectors — banking, health, telecoms — usually run internal policies stricter than the law itself. This is not legal advice. The point is that in those organisations the first question is not “which model is better?” but “are we allowed to send this data there at all?” Ask your compliance team before pasting work data into either tool. The irony is that DeepSeek, thanks to its open weights, may be the easiest option to clear when self-hosted, and the hardest when used through its official app.

Peak pricing lands on your morning

DeepSeek’s peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday. In Riyadh time that is 04:00–07:00 and then 09:00–13:00 — the heart of the working day. Dubai is an hour later again. Note too that Friday counts as a peak day, even though it is the weekend across much of the region. The practical upshot: batch jobs you can schedule for the afternoon, the evening, or Saturday and Sunday cost half as much.

Content moderation

The hosted service operates under Chinese law, and many users have documented refusals or evasive answers on topics China treats as politically sensitive. On subjects Arab readers tend to care about — religion, Islamic history, regional politics — behaviour is neither identical to ChatGPT’s nor always predictable, and each model carries guardrails that reflect the company that built it. We will not hand you a blanket verdict we have not measured. If your work is journalism or research in these areas, test the questions that matter to you before relying on either. Self-hosted copies of the open weights skip the filtering layer the official app adds, though some caution is baked into the model’s training itself.

MSA and dialect

There is still no neutral public benchmark for Arabic on these models, and any score you see for “Arabic quality” was made up. What can be said honestly is that both write clear, largely correct Modern Standard Arabic, and ChatGPT has the wider command of regional dialects and writes them more convincingly. DeepSeek’s Arabic is strong on reasoning and explanation but can read as translated, and it tends to reply in MSA when spoken to in dialect. Don’t take our impression for it — run the test below.

A ten-minute test you can run yourself

Open both side by side and use your own material, not canned examples:

1. Paste 300 words of real Arabic work and ask for a three-point MSA summary. Which needs less editing?
2. Ask for the same paragraph in your own dialect, and judge it as a native speaker would.
3. Pose a maths or logic problem from your field in Arabic and ask for the working — this is where reasoning models show their strength or don’t.
4. Ask one question on a sensitive topic that matters to your work, and note who answered, who refused and who gave half an answer.
5. If you are a developer, send the same request through both APIs and compare the billed token counts, not the word counts.

Step five exposes the real cost of working in Arabic. Step four exposes what no spec table will tell you.

Where ChatGPT wins outright

To keep this fair: ChatGPT is a far broader product. It generates images and video, holds spoken conversations, runs deep research that gathers and summarises sources, remembers your preferences, and connects to a long list of other tools. DeepSeek is, at heart, a text assistant. It reads uploaded images and can search the web, but it does not compete on creative generation or on integrations.

ChatGPT also has a quieter advantage: institutional stability. Its business plans are documented, there is support to call on, and paying with a local card works in most of the region. DeepSeek is a free service with no paid consumer tier; the app can slow down under load, and you will not find the commitments you would expect from a contracted supplier.

If you are weighing ChatGPT against something other than DeepSeek, our ChatGPT vs Claude: Which One Actually Fits Your Work in 2026? and ChatGPT vs Gemini: Which One Fits How You Actually Work? comparisons may be closer to what you need.

Choose DeepSeek if you…

• are building something that burns millions of tokens and the invoice is your first criterion.
• need to run the model on your own servers so data never leaves the building.
• want a 1M-token API context window at a low price.
• can schedule batch work outside peak hours and want the 50% discount.
• want a free text assistant for reasoning, maths and explanation — and never paste anything sensitive into it.

Choose ChatGPT if you…

• want one subscription covering text, images, voice and deep research.
• write in dialect or for a local audience in their own spoken Arabic.
• work somewhere whose policies forbid moving data to China.
• need a contract, an invoice and support, not a free service with no commitments.
• rely on ready-made integrations with the tools you already use.

And if we are being completely honest…

These are tools for two different audiences more than rivals for one. An individual who wants an all-round assistant will find things in ChatGPT that DeepSeek simply does not do, and price will not sway them, because both free tiers cover casual use. For developers and organisations, DeepSeek changes the maths entirely — provided they run it through a host they trust or on their own hardware, not through the official app. Our blunt advice: use DeepSeek’s app for things you would not mind a stranger reading, and its open weights for things that must stay with you.

Frequently asked

Is DeepSeek really free?

The chat app advertises no paid plan and costs nothing to use. The API is billed per token from a prepaid balance.

Can I run DeepSeek on my own computer?

The full model needs server-class hardware. Quantised builds run in the well-known local-inference tools, at some cost in quality — test them on your actual tasks before relying on them.

Is DeepSeek safe to use?

The better question is: safe for what kind of data? For general questions it is not very different from anything else. For personal or confidential data, remember that the official app stores it in China under Chinese law, and your organisation’s policies may forbid exactly that.

Which is better in Arabic?

ChatGPT leads on dialect. On MSA and reasoning they are close, and the gap depends on your field. There are no neutral scores worth trusting; the test above will tell you more than any published ranking.

Are my conversations used for training?

Both companies may use individual users’ conversations to improve their models, and both let you opt out. Read the policy that applies to your specific plan — not a summary in an article, including this one.

Related pages

For the full detail on each tool, see our DeepSeek and ChatGPT directory pages. And if your real need is search and source-checking rather than conversation, our Perplexity vs ChatGPT: Which One for Research and Verification? comparison is closer to your question.