DeepSeek, V4 and China
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DeepSeek V4’s real breakthrough is cost-efficient long-context intelligence: it makes million-token reasoning cheaper and pushes open models closer to frontier systems.
SINGAPORE, SINGAPORE, SINGAPORE, April 26, 2026 /EINPresswire.com/ -- April 2026 was the most intense month in the
DeepSeek says both models are more efficient and performant than DeepSeek V3.2 due to architectural improvements, and have almost "closed the gap" with current leading models, both open and closed, on reasoning benchmarks.
DeepSeek V4 Preview costs about 85 percent less than GPT-5.5.
DeepSeek launches V4 AI model with Huawei chip support, offering lower costs and intensifying global AI competition.
The Chinese lab that shook Wall Street just dropped its biggest, most efficient model yet, hours after OpenAI launched GPT-5.5.
China’s DeepSeek unveiled a preview version of its much-anticipated new model on Friday, promising to rival models from OpenAI, Anthropic and Google a year after the then little-known start up took the global AI industry by storm.
DeepSeek, the Chinese artificial intelligence startup that shook up world markets last year, has launched preview versions of its latest major update.
Read our full test of Deepseek v4 Pro and Flash to see how their real-world performance compares to their impressive benchmark claims and low pricing.
By Eduardo Baptista, Ethan Wang and Che Pan BEIJING, April 24 (Reuters) - DeepSeek, the Chinese startup whose low-cost AI model stunned the world last year, launched on Friday a preview of a highly awaited new model adapted for Huawei chip technology,
DeepSeek released its new model just days after Moonshot AI, another Chinese start-up, introduced its latest open-source model, Kimi 2.6. While these systems trail the coding capabilities of the leading U.S. models from Anthropic and OpenAI, the gap is narrowing.
On Friday, Chinese AI firm DeepSeek released a preview of V4, its long-awaited new flagship model. Notably, the model can process much longer prompts than its last generation, thanks to a new design that helps it handle large amounts of text more efficiently.