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DeepSeek vs. GPT : Who’s the Winner?

DeepSeek vs GPT : Who’s the Winner?

The whole world now shaken by the presence of China’s latest AI, namely Deepseek.

And now all the people online compare those two AI! this topic heating up between DeepSeek, China’s latest AI, and OpenAI’s GPT, the current global leader.

Let’s break down how they were made, what they cost, the teams behind them, and which one stands out as the true winner. Ready to find out?

DeepSeek AI: The New Challenger

DeepSeek is making waves in the AI space with a focus on localized performance in China and the wider Asian market. Here’s how this new AI came to life:

1. ) Development Time: DeepSeek took around 2 to 3 years to develop. Fast, right? The team relied on existing research and tools to build a strong foundation in record time.

2. ) Team Size: About 300 to 500 people worked on DeepSeek, with a lot of the talent coming from China’s top universities and tech companies.

3. ) Cost to Develop: The total cost for DeepSeek is estimated to be between $200 to $300 million. This includes everything from R&D to setting up the infrastructure needed to run it.

GPT: The Established Powerhouse

GPT, on the other hand, has had a much longer journey, with years of research and resources poured into it. Here’s the scoop:

1. ) Development Time: GPT’s journey started in 2015, with the first model launching in 2018. The most recent version, GPT-4, was the result of nearly 10 years of continuous research and improvement.

2. ) Team Size: OpenAI’s team is much larger, over 1,000 researchers, engineers, and scientists globally working on various aspects of the project.

3. ) Cost to Develop: GPT-4 reportedly cost around $1 billion to develop, which reflects the extensive infrastructure, data, and compute power that went into its creation.

The Breakdown: DeepSeek vs. GPT

Here’s a quick comparison of the two heavyweights:

1. Cost:

DeepSeek: $200–300 million

GPT: $1 billion+
GPT’s higher price tag comes from the global scale and broader focus on general-purpose AI.

2. Team Size:

DeepSeek: 300–500 developers

GPT: 1,000+ developers
OpenAI’s larger team allows it to push the boundaries of AI with more resources at hand.

3. Development Time:

DeepSeek: 2–3 years

GPT: >10 years
DeepSeek is quicker to develop, but GPT has been years in the making, building on solid AI foundations.

So, Who Wins?

The decision really comes down to what you’re after:

DeepSeek is the go to for localized, cost effective AI, especially in China and Asia. It’s fast to develop and excellent for region specific tasks.

GPT is the global powerhouse, offering unmatched versatility, reliability, and an overall polished experience. It’s the top choice for diverse tasks and a more refined AI experience.

So, while GPT remains the overall leader, DeepSeek is making its mark in a big way, and it’s definitely one to keep an eye on.

Your Thoughts?

What do you think about this new AI from China?

Do you think DeepSeek will bring big changes to the AI industry? or will it struggle to compete with Open AI?

I’d love to hear your thoughts. Feel free to drop a comment below! Let’s talk about the future of AI!

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