On March 24, 2025, DeepSeek, a Chinese artificial intelligence research institution, released the latest version of its flagship language model - DeepSeek-V3-0324 on the Hugging Face platform without any preview. This "low-key and strong" update quickly sparked heated discussions in the technology community, and many developers and AI enthusiasts shared their initial experience and expectations. The following is an in-depth report compiled based on feedback from the technology community.
1. Mysterious release: The 68.5 billion parameter behemoth quietly unveiled
DeepSeek maintains a consistent low-key style. According to the technology community, the new model quietly went live on Hugging Face early on the morning of March 24, without any official announcements or press conferences. The new version has reached 68.5 billion parameters, while the DeepSeek-V3 technical paper released in December last year is 67.1 billion parameters. This difference has sparked speculation about potential architectural adjustments. Although the official has not disclosed detailed technical parameters, this "sudden attack" is enough to excite the community.
Multiple messages confirmed that DeepSeek only notified the upgrade through a group message, indicating that the model has been open sourced on Hugging Face for free download by everyone. The report also pointed out that third-party platforms quickly provided API support, demonstrating the community's rapid response to new models.
2. Performance leap: Significant improvement in mathematics and programming capabilities
The core highlight of this update is the significant improvement in performance. Although the company positioned it as a "small version update", preliminary tests showed significant improvements in both mathematical capabilities and front-end design. Several technical reviewers reported that the programming capabilities of the model have been greatly improved, close to the level of Claude 3.5. Some reviewers shared sample images generated by V3-0324, saying that the initial effect was "quite good".
In addition, early feedback also suggests that in addition to improvements in technical tasks, the new model may provide a more humanized conversational experience. However, as the benchmark data has not been released by the authorities, these preliminary assessments need further verification.
3. New open source attitude: The community responded enthusiastically under the MIT protocol
Unlike previous versions, DeepSeek-V3-0324 adopts a more relaxed MIT open source protocol, a change that is widely regarded as a positive development. Technology commentators pointed out that in addition to a significant enhancement in programming capabilities, the model also adopts a more open open source protocol. The model is now available on the open source platform with a parameter volume of 68.5 billion, reflecting DeepSeek's increasingly open attitude towards the open source community.
The warm response from the Hugging Face comment section verifies this observation. The dual advantages of open source and performance improvement make DeepSeek-V3-0324 regarded as a potential industry changer and may challenge the status of closed source models such as OpenAI GPT-4o or Anthropic Claude 3.5 Sonnet.
4. User experience: seamless switching from official website to API
The openrouter platform has opened the API interface
DeepSeek also optimized the user experience in this update. According to technical reports, users only need to turn off the "deep thinking" function on the official website to directly use the V3-0324 version, while the API interface and usage methods remain unchanged. This seamless switching design lowers the threshold for use and has been well received by the community.
The report also pointed out that third-party platforms have provided API access, demonstrating the ecosystem's rapid adaptability.
5. Future Outlook: Prelude to R2?
Although marked as a "small version upgrade", the impact of this update is far beyond expectations. Many in the tech community speculate whether this paves the way for the upcoming DeepSeek-R2. Previously, DeepSeek's R1 model competed with OpenAI's o1 model in logical reasoning and mathematical tasks, and the release of V3-0324 was regarded as the technical basis for the accumulation of next-generation inference models. Although DeepSeek has not confirmed the specific release date for R2, community expectations are clearly heating up.
6. Summary: The strong rise in low-key
The release of DeepSeek-V3-0324 continues the company's usual style: low-key releases and excellent performance. From the scale of 68.5 billion parameters, to the significant improvement in mathematical and programming capabilities, to the open source strategy of the MIT protocol, this model has undoubtedly injected new vitality into the field of AI. As one technical reviewer described: "The surface is low-key, but it is actually as powerful as a tiger." Even before the technical details were fully disclosed, developers and researchers were eager to enter the test to try to tap the full potential of this "silent beast".
With more review results released, whether DeepSeek-V3-0324 can truly shake the existing AI landscape remains a focus of attention in the next few weeks. To be sure, DeepSeek is moving steadily in the global AI competition in its unique way.