DeepSeek V4.1 Flash officially launched: New 552B architecture, only 8B parameters activated on input
42 minutes ago
Beating AI Express News: DeepSeek officially launches V4.1 Flash. The new model has a total of 552 billion parameters, adopts a brand-new Causal-Encoder-Decoder architecture, and natively supports image understanding. It is also currently the smallest model in DeepSeek’s new architecture series. This architecture separates input and output processing: only 8 billion parameters are activated when reading input, and 16 billion parameters are activated when generating responses. DeepSeek states that this design allows the 552B large model to keep inference costs low. After new pre-training and larger-scale reinforcement learning, V4.1 Flash has outperformed V4 Pro in official benchmarks. Caching has also been significantly compressed: compared to the previous generation, V4.1 Flash cuts HBM memory demand to 1/4 and SSD storage demand to 1/8, mainly reducing costs for long contexts and repeated AI agent calls. V4.1 Flash is now available via API; users can access it by using the model name "deepseek-flash".
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