DeepSeek announced the rollout of its latest large‑language models, V4 Pro and V4 Flash, less than a year after the startup’s free app topped the U.S. Apple App Store. In a brief statement, the company highlighted a "cost‑effective 1 million context length," a metric that measures how many tokens a model can retain in a single conversation. The longer the context window, the more coherent the dialogue can stay over extended interactions.
Model specs and capabilities
According to DeepSeek, V4 Pro packs enhanced agentic capabilities and is designed to compete with leading closed‑source alternatives on reasoning tasks. The firm positions the Pro version just behind Gemini‑3.1‑Pro in terms of world knowledge, while suggesting it surpasses most other models. V4 Flash, described as a lighter sibling, trades a modest dip in raw power for quicker response times. DeepSeek asserts that Flash’s reasoning ability remains close to the Pro’s and that it matches the Pro on simple agent tasks.
Both models remain open‑source, allowing developers to download the code, modify it, and integrate it into their own systems. This openness contrasts with many industry players that keep their most advanced models proprietary.
Regulatory pushback
Within days of the launch, U.S. federal agencies moved to block the DeepSeek app on government‑owned devices, labeling it a national‑security risk and a potential threat to domestic AI markets. The ban applies to all federal employees and contractors who might install the software on official hardware. South Korea followed suit, pausing new downloads of the app amid concerns over user privacy.
The swift regulatory response underscores the tension between rapid AI advancement and the need for oversight. While DeepSeek promotes its models as affordable, high‑performance alternatives, authorities appear uneasy about the open‑source nature of the technology and its possible misuse.
Industry observers note that OpenAI recently disclosed its own GPT‑5.5 model, which can operate with a context window ranging from 400,000 to one million tokens. DeepSeek’s claim of a full million‑token window places it directly in competition with the tech giant’s upcoming offering.
As the AI landscape evolves, DeepSeek’s dual strategy—pushing technical limits while keeping its models accessible—will likely test the balance regulators seek between innovation and security.
Cet article a été rédigé avec l'assistance de l'IA.
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