ARCHITECTURE Signal 111
DeepSeek launches DeepSeek-V4.1-Flash, a 552B-parameter Causal Encoder-Decoder model with 1 M-token context
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DeepSeek introduced its smallest model, DeepSeek-V4.1-Flash, built on a new Causal Encoder-Decoder architecture and featuring a 552 billion-parameter backbone and a 1 million-token context window.
The 1 M-token context window lets the model ingest much longer inputs in a single pass, reducing the need for manual chunking of large documents. The shift to a Causal Encoder-Decoder design may require engineers to adjust inference pipelines that were previously tuned for decoder-only models. The large 552 billion-parameter backbone implies substantial compute and memory demands, influencing deployment decisions.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
DeepSeek-V4.1-Flash is the smallest model in DeepSeek's V4 series.
It is built on a new Causal Encoder-Decoder architecture.
The model has a 552 billion-parameter backbone and supports a 1 million-token context window.
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