According to God of Prompt (@godofprompt), Chinese startup DeepSeek has developed an open source AI language model that matches the performance of OpenAI’s $60/million token GPT model but at a cost of just $0.55 per million tokens, representing a 98% reduction in cost. DeepSeek achieved this with a $6 million investment using restricted GPUs unavailable in China due to US export controls, while OpenAI spent $6 billion for similar outcomes. This breakthrough highlights the rapidly narrowing technological gap between Chinese and US AI firms, undermining OpenAI’s perceived technological moat and suggesting that high AI valuations may be driven more by marketing than by actual technological exclusivity. For the AI industry, DeepSeek’s open source approach and drastic cost reduction signal new business opportunities in global AI accessibility, enterprise adoption, and competitive pricing, while raising questions about the sustainability of current US AI business models (source: @godofprompt, Twitter, Nov 9, 2025).

According to DeepSeek (@deepseek_ai), the company has released the V3.1 Base model, which features continued pretraining on 840 billion tokens for improved long context extension. The update also includes an overhauled tokenizer and chat template, aiming to enhance language model performance for extended conversations. Both the V3.1 Base and full V3.1 model weights have been open-sourced, offering developers and AI businesses access to advanced large language model capabilities. This release marks a significant step in open-source AI development, enabling enterprises to deploy long-context chatbots and advanced NLP applications with greater efficiency and scalability (Source: DeepSeek Twitter, August 21, 2025).