According to OmniVision's Beating monitoring, following the release of DeepSeek V4, the developer communities in China and the United States have shown a dual attitude of "technical recognition and gap consensus." In the U.S., Replit CEO Amjad Masad praised V4's attention compression and long-context efficiency improvements as true architectural innovations. Developers on Reddit and Hacker News responded positively to the 1M contextual open-source model and MIT license, but most are taking a "wait and see" approach. CFR researcher Chris McGuire pointed out that the V4 report itself admits to lagging behind cutting-edge models by 3 to 6 months.
On the Chinese side, the V2EX and Zhihu communities are focused on V4's programming Agent capability and low-price strategy. Early feedback suggests that the Pro version is approaching the level of Claude Opus 4.6, but there is still a gap in complex deep reasoning tasks. There is high attention on the Huawei Ascend compatibility. In the months leading up to the release, the community had accumulated significant doubts due to multiple delays, leading to an intensive testing phase after the official release. A common point of concern is that while V4 performs strongly in encoding and long-context scenarios, it has not yet caught up with the U.S.'s cutting-edge closed-source models in comprehensive reasoning.
