πŸ‡¨πŸ‡³ vs πŸ‡ΊπŸ‡Έ

DeepSeek vs GPT

An open-weights model against a closed one. The biggest difference is not quality, it is who controls the weights.

DeepSeek and GPT are often compared on capability, but the defining difference is structural. DeepSeek is open weights: the model is published, so anyone can audit it, fine-tune it, or host it independently. GPT, the family behind ChatGPT, is closed: OpenAI runs it and does not release the weights.

On day-to-day chat both are highly capable. DeepSeek built its name on reasoning, math, and code; GPT is a broad, polished generalist with a large product and tooling ecosystem.

Berges AI runs DeepSeek today. GPT appears here as a reference point. We include it because it is the model most people compare against, not because we host it.

At a glance

How they compare.

Maker
πŸ‡¨πŸ‡³ DeepSeek
DeepSeek (China)
πŸ‡ΊπŸ‡Έ GPT
OpenAI (United States)
Weights
πŸ‡¨πŸ‡³ DeepSeek
Open
πŸ‡ΊπŸ‡Έ GPT
Closed
Can you self-host?
πŸ‡¨πŸ‡³ DeepSeek
Yes
πŸ‡ΊπŸ‡Έ GPT
No
Can you audit the weights?
πŸ‡¨πŸ‡³ DeepSeek
Yes
πŸ‡ΊπŸ‡Έ GPT
No
Best known for
πŸ‡¨πŸ‡³ DeepSeek
Reasoning, math, and code
πŸ‡ΊπŸ‡Έ GPT
Broad, polished generalist
On Berges AI
πŸ‡¨πŸ‡³ DeepSeek
Yes, runs today
πŸ‡ΊπŸ‡Έ GPT
Not hosted
Design choices

How they're different.

Open vs closed

This is the heart of it. DeepSeek's weights are public, so you can inspect them, run them on your own hardware, and never depend on a single vendor. GPT's weights are private, so you use it through OpenAI on OpenAI's terms.

Control and portability

With an open-weights model you are not locked in: if a host changes terms or prices, you can move. With a closed model you get a polished product, but the provider controls availability, pricing, and what the model is allowed to do.

Capability

Both are strong. The gap that used to exist between open and closed models has narrowed considerably. For most everyday work, the open-vs-closed question now matters more than a raw capability gap.

The short version

Which one, and where.

If transparency, control, and portability matter to you, an open-weights model like DeepSeek is the point. If you want a single polished product and do not need the weights, GPT is a reasonable closed alternative. They are not hosted in the same place.

Berges AI runs DeepSeek and other open-weights models, with privacy as a default and encryption at rest. GPT is shown for comparison only; we do not host it.

Questions

Things people ask about DeepSeek vs GPT.

Is DeepSeek as good as GPT?

For most everyday tasks they are close, and DeepSeek is particularly strong on reasoning and code. The bigger difference is that DeepSeek is open weights and GPT is closed.

What does open weights mean here?

DeepSeek publishes its model weights, so anyone can audit, fine-tune, or self-host it. GPT keeps its weights private, so you can only use it through OpenAI.

Can I use GPT on Berges AI?

No. Berges AI runs open-weights models such as DeepSeek. GPT appears on this page only as the reference point most people compare against.