DeepSeek V4 Release Date This Week? Native Multimodal & No Nvidia Needed

The moment of witnessing history is approaching again. A year after the R1 shook the global AI community, DeepSeek is finally set to unveil the mystery of V4. According to the Financial Times and multiple reliable sources, DeepSeek V4 is highly likely to make its official debut this week.

This time, DeepSeek is not just adding more parameters for reasoning; it is performing a strategic shift in the underlying architecture.

Bypassing Nvidia: China AI's "Sputnik" Moment

The most shocking news to the industry is that during the development of DeepSeek V4, it did not prioritize optimization for Nvidia chips as per industry norms. Instead, it chose deep coupling with domestic AI chip manufacturers. This means China's AI is evolving from "running your own models on others' chips" to "running the strongest models on your own chips."

While Silicon Valley is still struggling with H100 quotas, DeepSeek has proven that architectural innovation and engineering efficiency can bridge the hardware generational gap.

Native Multimodal: Completing the Final Piece

Past DeepSeek models have been relatively weak in image and video generation. V4 will be a native multimodal large model. This means it can simultaneously understand and generate text, images, and videos, reaching top-tier levels in logical consistency.

According to leaked test data of V4 Lite (code-named seallion-lite), its SVG image generation quality without enabling thought mode has already surpassed most closed-source models on the market.

50x Price Advantage: The End of Compute Hegemony?

Sources leaked that thanks to black technologies like mHC (Manifold-Constrained Hyper-Connections) and Engram (Conditional Memory), the inference cost of V4 will be nearly 50 times cheaper than current top models. If this data holds true, Wall Street will have to re-evaluate whether those tens of billions of dollars in AI infrastructure investments are truly worth it.

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📖 Further Reading

• Qwen3 Max Thinking vs DeepSeek V4: The Battle for Open Weights Supremacy
• DeepSeek V4 Architecture Deep Dive: mHC and Engram Explained