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Mushfiqur Rahman Mahin
5 mins read

DeepSeek vs ChatGPT: Which is better?

DeepSeek vs ChatGPT: Which is better?

DeepSeek's emergence has significantly impacted the market, leading to substantial losses for OpenAI and its flagship product, ChatGPT. The Chinese startup introduced an AI model that rivals ChatGPT but was developed at a much lower cost. This triggered panic in the market, leading to a sell-off that wiped out over $1 trillion in market value across tech companies. Nvidia alone lost $589 billion in market cap, marking the worst single-day loss in history. DeepSeek’s rapid success, becoming the most downloaded app on Apple’s App Store, has raised concerns about OpenAI’s ability to maintain its dominance in an increasingly competitive AI landscape. This shows how quickly innovation can disrupt even the most prominent players in the industry.

The AI race is heating up: DeepSeek, a Chinese upstart built for $5.5 million, challenges ChatGPT’s $100M+ dominance with cheaper APIs and coding prowess. While ChatGPT thrives on premium features, DeepSeek’s cost-efficiency and rapid adoption signal a seismic shift in AI economics. Which platform gives more value to coders, creatives, and investors? Let’s look at their origins, costs, performance, ease of use, and future potential—ChatGPT vs DeepSeek: Which one comes out on top?

Origins of AI Leaders

OpenAI’s ChatGPT debuted in 2022 with a $100M+ investment, fueled by advanced GPUs and a team of engineers refining its outputs1. Backed by Microsoft and prioritizing versatility, it became synonymous with generative AI through features like voice commands and plugins. However, its resource-heavy design—requiring constant human oversight and premium hardware—raised operational costs, leaving room for leaner competitors.

Chatgpt Gpt 4 Model

Born in China’s competitive tech landscape, DeepSeek bypassed Silicon Valley’s playbook by focusing on self-reinforced learning and minimal human oversight1. Its $5.5–6 million development budget—a fraction of ChatGPT’s—relied on open-source frameworks and cost-effective AI chips. This lean approach allowed rapid deployment, with its R1 model achieving coding excellence without expensive human trainers. Within weeks of its US launch, it topped app stores, proving low-cost AI could rival giants1.

Deepseek model

Development Costs and Resource Efficiency

ChatGPT

  • Investment: Developed with over $100 million, relying on advanced AI chips and extensive human oversight.
  • Resource Use: Requires significant computational power due to its general-purpose design and multimodal features.
  • Cost Optimization: API costs range from $3–15 per million tokens, with premium features locked behind subscriptions.

DeepSeek

  • Investment: Built at a fraction of the cost (~$5.5–6 million) using fewer resources and less powerful AI chips.
  • Resource Use: Leverages a self-reinforced learning model without human supervision, reducing operational expenses.
  • Cost Optimization: APIs price at $0.48–0.55 per million input tokens, making it ideal for budget-conscious developers.

DeepSeek’s lean development and lower operational costs make it a disruptor in cost-sensitive markets.

Performance and Capabilities

Feature DeepSeek ChatGPT
Coding Excels in solving complex code issues quickly Relies on plugins for advanced tasks
Research Provides concise summaries with less detail Offers deeper historical/technical insights
Creativity Generates full stories (e.g., 387-word narratives) Produces multiple structured ideas
Memory No retention of past interactions Remembers user context for continuity
Voice/Image Text-only interface Supports voice commands and image analysis

ChatGPT’s versatility suits creative and interactive tasks, while DeepSeek shines in technical problem-solving.

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Accessibility

When we compare DeepSeek vs. ChatGPT, DeepSeek offers a straightforward, text-based interface that prioritizes simplicity, making it easy for users to interact with the AI. However, it does lack advanced features such as voice and image support, which may limit its appeal for users seeking a more dynamic experience. In contrast, ChatGPT provides an intuitive design enriched with customizable GPTs, plugins, and support for multimodal interactions, including voice commands and image analysis. This versatility makes ChatGPT a more engaging option for users who want a comprehensive and interactive AI tool.

Future Potential

Looking ahead, DeepSeek is well-positioned to expand its presence in cost-sensitive markets and coding niches. Its open-source approach and low operational overhead could drive significant enterprise adoption in industries where affordability is crucial. Meanwhile, ChatGPT continues to dominate the premium AI services market, with its ecosystem expansion driving potential stock growth (e.g., OpenAI stock price). Its ability to cater to diverse use cases ensures it remains a top choice for businesses and individuals. Both platforms have promising futures, but their paths diverge based on their core strengths and target audiences.

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Impacts on Sales and Marketing:

ChatGPT

Sales and marketing have evolved dramatically with the rise of AI, and ChatGPT is at the forefront of this transformation. Businesses can now leverage AI-powered chatbots to engage with customers in real-time, personalize marketing campaigns, and optimize sales strategies. ChatGPT helps brands connect with their audience more effectively, from crafting compelling ad copies to analyzing consumer behavior. It streamlines lead generation, automates customer support, and even assists in content creation, making marketing efforts more efficient and impactful. With AI-driven insights, businesses can make data-backed decisions, enhance customer experiences, and ultimately drive more conversions, giving them a competitive edge in today's fast-paced digital world.

DeepSeek

DeepSeek is changing the game for businesses, especially in sales and marketing. This innovative AI tool helps Sales Development Representatives (SDRs) by automating many tasks that usually take time. For example, it can quickly analyze leads and gather information about potential customers. This allows SDRs to focus on building relationships instead of spending hours on research.

As DeepSeek evolves, it will likely make AI SDRs even more effective. The technology will improve how these AI tools understand customer needs and preferences, leading to more personalized interactions. With its ability to perform complex tasks and provide valuable insights, DeepSeek can help sales teams close deals faster and improve overall performance. In the future, we expect AI in sales and marketing to become even more integrated, making it easier for businesses to connect with their customers.

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Pricing

ChatGPT

  • Free Tier: Basic access with limited features.
  • Premium: $20/month for GPT-4, plugins, and Advanced Voice Mode.
  • APIs: Up to $60/million tokens for high-demand models.

DeepSeek

  • Free Tier: Unlimited queries with no paywalls.
  • APIs: $0.55/million input tokens and $2.19/million output tokens.
  • User Base: Rapid adoption due to cost savings, especially in developer communities.

DeepSeek’s free model and cheaper APIs provide unmatched affordability.

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‍LLM Model Benchmarking: ChatGPT vs DeepSeek

‍DeepSeek-V3 excels in general language understanding, scoring 88.5 on the MMLU benchmark, just behind Llama3.1’s 88.6 but ahead of Qwen2.5 (85.3) and Claude-3.5 Sonnet (88.3). While it’s among the top models for broad comprehension, its strength lies in complex reasoning. With a 91.6 score on the DROP benchmark, it outperforms Qwen2.5 (76.7), Llama3.1 (88.7), and Claude-3.5 Sonnet (88.3), proving its superior ability to solve intricate problems.

DeepSeek-V3 shines in specialized areas, showcasing its versatility. In code generation, it scores 51.6 on the Codeforces Percentile benchmark—nearly double Qwen2.5 (24.8) and Llama3.1 (25.3)—proving its strength in competitive programming. However, Claude-3.5 Sonnet leads in code editing with an 84.2 score compared to DeepSeek’s 79.7. For mathematical reasoning, DeepSeek dominates with a 90.2 score on MATH-500, far ahead of Qwen2.5 (80) and Claude-3.5 Sonnet (78.3). In Chinese language understanding, DeepSeek scores 90.9 on CLUEWSC, slightly behind Qwen2.5 (91.4) but outperforming Llama3.1 (84.7) and Claude-3.5 Sonnet (85.4). These results highlight DeepSeek-V3’s adaptability across diverse domains.

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Wrapping up

In the evolving landscape of artificial intelligence, the choice between DeepSeek vs. ChatGPT ultimately rests with the user and their specific needs, as each platform brings unique strengths. DeepSeek excels in cost efficiency and technical problem-solving, making it an ideal choice for developers seeking a budget-friendly AI tool that can handle complex coding tasks without the overhead of extensive resources. On the other hand, ChatGPT shines in versatility and user experience, particularly for those who require creative content generation, voice interactions, and a rich ecosystem of plugins.

Whether you prioritize affordability and coding prowess or a comprehensive suite of features for creative tasks, both platforms have their strengths. As you navigate your options, consider what aligns best with your objectives—cost-effectiveness with DeepSeek or the expansive capabilities of ChatGPT. The decision is yours to make!

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