[Prédiction approfondie] Quand DeepSeek V4 sera-t-il lancé ? Viser GPT-5.4, trois indices pointent vers demain (mardi).

Just last Thursday, March 5th, OpenAI unexpectedly unveiled the epoch-making GPT-5.4, once again shattering the global AI performance ceiling with its 1M-token ultra-long context and brand-new "Thinking" reasoning mode.

However, DeepSeek, recognized as the "Iron-Willed King" of domestic large language models, clearly won't let that throne remain unchallenged. Since the release of R1 in early 2025, DeepSeek has been toiling away in the laboratory for over 14 months. Faced with the storm just unleashed by GPT-5.4, V4, a "deep-sea bomb" loaded with trillions of parameters, is on the verge of detonation. According to multiple data analyses and predictions: March 10th (tomorrow) is highly likely to be the moment DeepSeek V4 officially targets GPT-5.4.

1️⃣ The "Statistical Hint" of Historical Habits: Why Tuesday Again?

Reviewing DeepSeek's core release trajectory over the past two years, from the early V3 to the later R1 and V3.2 series, the team has shown a strong preference for dropping "atomic bombs" on Tuesdays (Beijing time, morning or late night). This is not only to allow the technical team to handle the initial concurrency surge during the following work week, but also to rapidly surpass GPT-5.4 in the public opinion war by leveraging the formidable power of V4 within the "word-of-mouth window" of less than a week after its release.

2️⃣ The "Window of Hard Technology" During the Two Sessions

We are currently in the midst of the 2026 Beijing "Two Sessions," a crucial opportunity to showcase China's original AI architecture and computational power optimization capabilities. With GPT-5.4 dominating the benchmarks, DeepSeek's launch of a 1T-parameter large language model employing a brand-new autonomous architecture holds immense strategic symbolic significance. It's not just a technological contest, but a powerful response from the domestic computing ecosystem, demonstrating its "efficiency" against Silicon Valley giants.

3️⃣ The "Sprinting Distance" from the Engram Paper to V4

On January 12, 2026, DeepSeek, in collaboration with Peking University, published the groundbreaking paper "Conditional Memory via Scalable Lookup" (arXiv:2601.07372). The "Engram (Conditional Memory)" architecture proposed in this paper is regarded as another revolution in the sparsification path of large language models, following MoE. According to the general rhythm of large language model development, the public release of this type of core architectural paper typically signifies that the technology has passed production environment validation in the flagship model. The period from the paper's release in January to the model's launch in March aligns perfectly with the final refinement and safety compliance cycle.

4️⃣ V4 Preview: The Battle for the "Code Throne" of Trillion-Parameter MoE

Based on currently available information, DeepSeek V4 will bring three next-generation advancements:

• The Parameter Scale Officially Enters the 1T Era: Achieves O(1) static knowledge hash lookup through Engram technology, enabling extremely fast inference speeds.
• Directly Challenging GPT-5.4's Reasoning Capabilities: The core tuning focus of V4 remains code generation and complex logical reasoning, aiming to redefine the "most powerful brain" in vertical domains.
• User-Friendly Memory Consumption: Thanks to the sparsified architecture, it is predicted that the quantized version of V4 will support running on a single card with 24GB of memory (such as 4090/5090/5090), significantly lowering the deployment threshold for high-performance Agents.

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Editorial Commentary: While release dates are unpredictable, the logic of technological evolution does not lie. V4 represents not only an increase in parameters but also another breakthrough in the boundaries of "sparse computing."

Let us wait for tomorrow, Tuesday, and see if DeepSeek brings us a surprise, and if domestic large models will usher in a new milestone.

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