DeepSeek V3.2 AI Model Matches OpenAI's GPT-5 with Lower Training Costs
Key Highlights DeepSeek’s V3.2 AI model achieves comparable results to OpenAI’s GPT-5 with fewer training FLOPs The model uses DeepSeek Sparse Attention (DSA), reducing computational complexity while preserving performance The open-source availability of DeepSeek V3.2 enables enterprises to evaluate advanced reasoning and agentic capabilities without vendor dependencies The AI industry has long been driven by the notion that achieving frontier AI performance requires greatly scaling computational resources. However, DeepSeek’s latest breakthrough challenges this assumption, demonstrating that working smarter, not harder, can yield comparable results. By developing innovative architectures like DeepSeek Sparse Attention (DSA), the company has managed to reduce computational complexity while preserving model performance. ...