ChatGPT vs DeepSeek
I'm sure you've seen the news about DeepSeek, a new Chinese competitor, to Open AI's ChatGPT.
Development Costs
ChatGPT: $100M+ for training
DeepSeek: $5.6M for training
User Costs
ChatGPT - $20/month for Plus, $200/month for Team subscription
DeepSeek - Free for core functionality
Open Source Approach
ChatGPT - Proprietary model
DeepSeek - Open-source, allowing users to download and run locally
Cost Per Use
ChatGPT API - $0.03 per 1,000 input tokens, $0.06 per 1,000 output tokens for GPT-4
DeepSeek API - Significantly cheaper, with estimates around $0.01 per 1,000 tokens
Energy Efficiency
DeepSeek consumes significantly less energy than ChatGPT:
- Approximately 97% less energy consumption
- 92% smaller carbon footprint
- Uses around 2,000 chips compared to ChatGPT's 16,000+
DeepSeek has proven it's not just a budget-friendly AI, but a performance beast that consistently matches or edges out ChatGPT in technical benchmarks, challenging the notion that superior AI requires massive financial investment.
While DeepSeek demonstrates impressive capabilities, it currently faces limitations in advanced image processing, potential censorship issues, and privacy concerns typical of emerging AI technologies.
However, this competitive landscape drives rapid innovation, pushing companies like OpenAI and DeepSeek to improve their models continuously.
Benefiting users through enhanced performance, reduced costs, and more sophisticated AI capabilities.
What do you think about DeepSeek?
Try some hands-on AI projects 👉 link.nextwork.org/linkedin
