# China's DeepSeek Previews V4 Model with Hybrid Attention and Improved Reasoning

> China's DeepSeek is back with a preview of its V4 family, split into a cheaper V4 Flash and a more capable V4 Pro. The company says V4 Pro performs competitively with the best open-source models, trailing only Google's Gemini-Pro-3.1 on its own reckoning, with particular strength in coding and stronger reasoning than before. The headline architectural change is what DeepSeek calls a Hybrid Attention Architecture, aimed at the perennial weak spot of long conversations. It is meant to hold context better across very long inputs, and DeepSeek says it pushes the usable window toward a million tokens. The Flash variant is positioned as the affordable option while the models remain in preview. The reason to pay attention is less any single benchmark and more the pattern. DeepSeek keeps shipping open, low-cost models that force the frontier labs to justify their prices, and it does so from outside the US export-control perimeter. Each release tightens the argument that capable AI is not going to stay the property of a handful of American companies, and that open weights are a competitive strategy, not just a philosophy.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: CNBC · Published Saturday, August 1, 2026_

## Wortins' read

China's DeepSeek is back with a preview of its V4 family, split into a cheaper V4 Flash and a more capable V4 Pro. The company says V4 Pro performs competitively with the best open-source models, trailing only Google's Gemini-Pro-3.1 on its own reckoning, with particular strength in coding and stronger reasoning than before. The headline architectural change is what DeepSeek calls a Hybrid Attention Architecture, aimed at the perennial weak spot of long conversations. It is meant to hold context better across very long inputs, and DeepSeek says it pushes the usable window toward a million tokens. The Flash variant is positioned as the affordable option while the models remain in preview. The reason to pay attention is less any single benchmark and more the pattern. DeepSeek keeps shipping open, low-cost models that force the frontier labs to justify their prices, and it does so from outside the US export-control perimeter. Each release tightens the argument that capable AI is not going to stay the property of a handful of American companies, and that open weights are a competitive strategy, not just a philosophy.

## Source

[Read the full story at CNBC](https://www.cnbc.com/2026/04/24/deepseek-v4-llm-preview-open-source-ai-competition-china.html)

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