Here’s a simple, layman-friendly explanation of why DeepSeek can offer its AI services much cheaper than OpenAI:
🧠 1. Different Design Makes It Less Expensive to Run
DeepSeek uses a clever engineering trick called Mixture-of-Experts (MoE) and other efficiency boosters. Instead of firing up the whole giant model every time, it only uses the parts it really needs for each task. It’s like using a small engine for easy jobs instead of firing up a V12 every time — saving energy and cost every time it answers a question.
💻 2. Cheaper Training and Hardware
Training a cutting-edge AI usually costs tens to hundreds of millions of dollars with expensive GPUs. DeepSeek claims it trained its earlier models for just a few million dollars by using less powerful (and cheaper) hardware and highly optimized code.
That means:
They didn’t spend as much building the model in the first place.
They don’t need super-expensive computers to run it.
📦 3. Open-Source = Lower Overhead
DeepSeek publishes its model weights and code openly under a permissive license. That means anyone can host, modify, or reuse it without paying a big licensing fee. OpenAI’s models are proprietary — you pay for every request through their API.
Open-source also:
Cuts out middlemen (cloud providers, restrictive contracts).
Lets hobbyists or businesses self-host if they want even lower costs.
💸 4. Very Low Pricing Per Use
Because DeepSeek is cheaper to build and run, they can charge a lot less per “token” (a chunk of text). For example, some entry prices for DeepSeek are 90%+ cheaper per million tokens than comparable OpenAI models.
So if you’re a developer and need to generate a lot of text or handle many questions, DeepSeek can literally cost a fraction of the price.
🧠 5. Fewer Costs for Safety/Compliance
OpenAI spends a lot on safety systems, moderation tools, and compliance with Western privacy rules. DeepSeek operates primarily under different regulatory standards, which reduces legal and operational overhead (for now).
🔄 Summary (Plain Comparison)
Factor DeepSeek OpenAI
Training cost Low (millions) Very high (tens–hundreds of millions)
Running cost per query Very low Higher
Licensing Open-source Proprietary
Safety/Compliance costs Lower Higher
Hardware requirements Can use cheaper GPUs Often uses top-tier/cloud GPUs
🧩 In Plain English
Think of DeepSeek like a fuel-efficient car: designed to get you almost the same distance (good answers) while using far less gas (computing and money).
OpenAI is more like a luxury sports car: more expensive parts, more features, and higher performance in general — but also a much higher price tag.
Both have their place — but if your priority is “cheap and capable,” DeepSeek’s design and pricing choices let them undercut OpenAI’s costs significantly.