According to reports, DeepSeek will launch its latest multimodal large language model, V4, next week. This new model will support AI generation of images, videos, and text natively, marking the first major update for DeepSeek since the release of its R1 inference model in January 2025. This move aims not only to fill the market demand for low-cost open-source models domestically but also to further advance the development of artificial intelligence.
It is reported that DeepSeek will also release a brief technical note along with the launch of V4, with a detailed engineering report expected to be released in one month. These actions demonstrate DeepSeek's efforts in promoting technological transparency and user education.
In terms of hardware compatibility, DeepSeek has closely collaborated with Huawei and Cambricon to deeply optimize the V4 model, aiming to support domestic computing power. This move will significantly boost the demand for local semiconductors and accelerate the adaptation and reliance of AI models on local chips during the inference process.
The multimodal capabilities of V4 mean that users will be able to generate corresponding images and videos through text instructions, greatly expanding the application potential of AI in fields such as creation, advertising, and education. This new model is expected to provide content creators with more powerful tools, making their creative process more efficient and innovative.
The release of DeepSeek V4 is undoubtedly expected to attract widespread attention, especially in the domestic market, where it will offer users more choices and opportunities, helping to continuously enhance China's competitiveness in the global AI field.
Key Points:
🌟 DeepSeek V4 will be officially launched next week, supporting AI generation of images, videos, and text.
💡 The new model will fill the gap in the domestic low-cost open-source model market, meeting growing demand.
🚀 Deeply optimized hardware compatibility will promote domestic semiconductor demand and support technological advancement in the AI field.
