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CryptoWorld News reports that DeepSeek has released the V4 series. The flagship model has total parameters of 1.6T, supports a 1M context window, and its inference compute power is only 27% of V3.2.
This series includes two MOE models: v4-pro has total parameters of 1.6T, activating 49B (49 billion) per token; v4-flash has total parameters of 284B (284 billion), activating 13B (13 billion) per token.
Architecture upgrades include a hybrid attention mechanism, which significantly reduces the overhead of long-context processing; the single-token inference FLOPS of v4-pro is only 27% of V3.2.
Pretraining data exceeds 32T tokens, and post-training is conducted in two phases. v4-pro-max claims to be the strongest open-source model currently, with inference performance approaching cutting-edge proprietary models.
The weights are stored using mixed precision of FP4+FP8.