Deepseek v4.1 Release Claim Fact-Checked

The AI community has already seen controversy surrounding unauthorized data scraping, leading to lawsuits and backlash against several LLM developers. Without transparency, users cannot be sure if DeepSeek’s responses are built on a foundation of legally acquired and ethically sourced data.

On April 24, 2026, DeepSeek released a preview of its V4 series, including the 1.6-trillion parameter DeepSeek-V4-Pro and the 284-billion parameter DeepSeek-V4-Flash, both featuring a 1-million token context window, under the MIT License.

Released on 20 January 2025, DeepSeek-R1 surpassed ChatGPT as the most downloaded freeware app on the iOS App Store in the United States by 27 January. DeepSeek's success against larger and more established rivals has been described as "upending ...

On raw performance, V4 is impressive but still trails the American frontier. DeepSeek claims that V4-Pro beats every other open-weight model, but says it falls short of OpenAI’s GPT-5.4 and Google’s Gemini 3.1-Pro.

While Western non-PRC companies focus on building secure AI systems that emphasize transparency, accountability, and long-term safety, the PRC’s approach appears to be driven by a Chinese Communist Party (CCP) imperative to create competitive models as fast as possible. Rather than ensuring robust security at every stage of development, DeepSeek’s model sacrifices these protections for the sake of the CCP’s desire for speed and influence, increasing its potential for misuse.

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models — DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSeek-V4-Flash with 284B parameters (13B activated) — both supporting ...

DeepSeek V4-Pro: 1.6 trillion parameters, 49 billion active per token. Kimi K2.6: 1 trillion parameters, 32 billion active. GLM-5.1: 744 billion parameters, 40 billion active. MiniMax M2.7: large total parameter count, 10 billion active ...

DeepSeek-V4-Pro is DeepSeek's flagship open-source MoE model with 1.6T total parameters and 49B activated, purpose-built for frontier-level reasoning, coding, and agentic tasks.