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DeepSeek's V4.1-Flash demonstrates significant architectural efficiency by utilizing a mixture-of-experts design that activates only 8 billion parameters during inference, drastically reducing memory footprint and latency compared to its larger counterparts. The model achieves competitive reasoning benchmarks against top-tier US offerings like Claude Opus 5 and GPT-5.6 Sol while offering a lower-cost alternative for API users through immediate routing changes. This release highlights ongoing industry efforts to optimize parameter efficiency and reduce operational costs without sacrificing performance in complex tasks like software engineering.
Source coveringSiliconANGLE
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DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro

SiliconANGLE4 min read

Chinese artificial intelligence startup Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd. today released DeepSeek-V4.1-Flash, the smallest model in a new architecture family. The company said tests by multiple parties put the open-weight model ahead of its much larger DeepSeek-V4-Pro on performance, cost, speed and total runtime. Starting Sept. 14, requests sent to V4-Pro […] The post DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro appeared first on SiliconANGLE.

DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro Chinese artificial intelligence startup Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd. today released DeepSeek-V4.1-Flash, the smallest model in a new architecture family. The company said tests by multiple parties put the open-weight model ahead of its much larger DeepSeek-V4-Pro on performance, cost, speed and total runtime. Starting Sept. 14, requests sent to V4-Pro…

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