DeepSeek, a leading AI technology company, has announced the release of its latest experimental model, DeepSeek-V3.2-Exp. This model represents a significant advancement in the company’s journey towards developing next-generation AI architectures.
DeepSeek-V3.2-Exp builds upon the foundation of DeepSeek-V3.1-Terminus and introduces the proprietary DeepSeek Sparse Attention (DSA) mechanism. This innovation enhances the model’s ability to process long-context sequences more efficiently, resulting in improved training and inference performance. The DSA mechanism achieves fine-grained sparse attention with minimal impact on output quality, thereby reducing computational costs.
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In conjunction with the model release, DeepSeek has implemented a significant reduction in API pricing, with costs dropping by over 50%. This move aims to make advanced AI capabilities more accessible to developers and enterprises, fostering broader adoption and innovation within the AI ecosystem.
For users interested in comparing the new model’s performance with its predecessor, DeepSeek-V3.1-Terminus remains available via a temporary API until October 15, 2025, at 15:59 UTC. Detailed information on comparison testing can be found on DeepSeek’s official documentation site.
DeepSeek remains committed to advancing AI technology through continuous innovation and strategic developments. The release of DeepSeek-V3.2-Exp marks a pivotal step in the company’s mission to deliver cutting-edge AI solutions that drive efficiency and performance across various applications.
