DeepSeek AI
DeepSeek AI is a Chinese artificial intelligence company specializing in developing open-source large language models (LLMs). It has gained attention for its efficient and powerful models that rival those from major AI players like OpenAI and Meta.
Key Aspects of DeepSeek AI:
1. Advanced Large Language Models (LLMs)
o DeepSeek has developed several AI models, including DeepSeek-V3 and DeepSeek-V2, which are designed to be cost-efficient while maintaining high performance.
o DeepSeek-V2 is a Mixture-of-Experts (MoE) model with 236 billion parameters (21B active per token) and a 128K token context length.
o These models use advanced techniques such as Multi-head Latent Attention (MLA) and DeepSeekMoE to improve efficiency and reduce costs.
2. Open-Source Approach
o Unlike many AI companies that keep their models proprietary, DeepSeek AI releases its models under open-source licenses.
o This allows developers and businesses worldwide to use and improve upon their technology.
3. Industry Adoption & Partnerships
o Tiger Brokers has integrated DeepSeek's AI into its chatbot, TigerGPT, to improve financial analysis and trading insights.
o Xiaomi is incorporating DeepSeek AI into its HyperOS operating system, enhancing AI-powered features across smartphones and other smart devices.
o Tencent has added DeepSeek's AI-powered search to Weixin (WeChat), showing a shift toward external AI partnerships.
4. Cost-Effective Model Training
o DeepSeek is known for training highly capable models at a fraction of the cost of its competitors. For example, DeepSeek-V3 was trained on less than $6 million worth of Nvidia H800 GPUs, making it a highly efficient alternative to models from OpenAI and Meta.
5. Challenges & Future Outlook
o While DeepSeek has gained significant traction, it faces regulatory challenges and competition from Western AI giants.
o Its commitment to open-source AI raises questions about monetization and sustainability in the long run.
o Despite these challenges, its rapid rise suggests it could become a major player in the AI industry globally.
DeepSeek AI Vs ChatGPT Open AI
1. Model Architecture & Performance
DeepSeek AI and ChatGPT (from OpenAI) are both advanced large language models (LLMs), but they differ in architecture, capabilities, openness, and business models. Here’s how they compare:
| Feature |
DeepSeek AI |
ChatGPT (OpenAI) |
| Latest Model |
DeepSeek-V3 (2025) |
GPT-4 (2023) / GPT-4 Turbo (2024) |
| Model Type |
Mixture of Experts (MoE) (DeepSeek-V2) |
Dense Transformer (GPT-4) |
| Parameters |
236B (21B active per token) |
Undisclosed (GPT-4 rumored ~1T) |
| Context Length |
128K tokens |
128K tokens (GPT-4 Turbo) |
| Training Cost |
~$6M (DeepSeek-V3) |
Estimated >$100M for GPT-4 |
• DeepSeek-V2 is an MoE model, which activates only a portion of its parameters per token, making it more efficient.
• ChatGPT (GPT-4) is a dense transformer model, meaning all parameters are used for every token, potentially offering more uniform quality but at a higher computational cost.
• Both support long context lengths (128K tokens), useful for summarizing long documents and complex tasks.
2. Open Source vs. Proprietary
| Feature |
DeepSeek AI |
ChatGPT (OpenAI) |
| Open Source? |
✅ Yes |
❌ No |
| Available for Free? |
✅ (Open weights) |
✅ (Free tier with GPT-3.5) |
| Fine-tuning? |
✅ Yes |
❌ No (Not for GPT-4) |
• DeepSeek AI is fully open-source, allowing developers to modify, fine-tune, and deploy their own versions.
• OpenAI's ChatGPT is closed-source, making it more of a black-box system, though it provides an API for developers.
3. Accessibility & Deployment
| Feature |
DeepSeek AI |
ChatGPT (OpenAI) |
| API Access |
❓ Limited (Still evolving) |
✅ Yes (via OpenAI API) |
| Cloud Deployment |
❓ Not widely available |
✅ Yes (Azure OpenAI API) |
| Self-Hosting |
✅ Yes |
❌ No |
• ChatGPT is easily accessible via API and cloud services, making it a go-to option for businesses that need AI integration.
• DeepSeek AI allows self-hosting, which can be a big advantage for companies concerned with data privacy and customization.
4. Use Cases & Adoption
| Feature |
DeepSeek AI |
ChatGPT (OpenAI) |
| Business Adoption |
✅ (Used by Tiger Brokers Xiaomi Tencent) |
✅(Microsoft, Khan Academy, Shopify etc.) |
| Consumer Chatbot |
❌ No official chatbot |
✅ ChatGPT (Web & App) |
| Coding Assistance |
✅ Yes |
✅ Yes (ChatGPT with Code Interpreter) |
| Creative Writing |
✅ Yes |
✅ Yes (ChatGPT excels here) |
• ChatGPT is widely used in enterprises, integrated into Microsoft products, and serves as a consumer-facing chatbot.
• DeepSeek AI is gaining traction in China, with integrations in Xiaomi’s HyperOS, Tencent’s Weixin, and Tiger Brokers.
5. Performance & Quality
| Feature |
DeepSeek AI |
ChatGPT (GPT-4 Turbo) |
| Reasoning Ability |
⚖️ Comparable |
✅ Stronger |
| Math & Code |
✅ Strong |
✅ Strong |
| Creativity (Writing Stories) |
✅ Good |
✅ Excellent |
| Multimodal (Images Voice etc.) |
❌ No |
✅ Yes (DALL·E Voice) |
• ChatGPT excels in reasoning and creativity, especially in writing and storytelling.
• DeepSeek AI is strong in coding and math but lacks a multimodal capability like ChatGPT’s DALL·E (for images) and Voice Mode.