DeepSeek-V4.1-Flash: more efficient prefill for coding agents

Introduces DeepSeek-V4.1-Flash, a 552B-parameter multimodal MoE model with a Causal Encoder-Decoder (CED) architecture. Highlights asymmetric activation parameters (8B for prefill, 16B for decode) for improved cost efficiency in agentic loops. Details KV cache improvements including Compressed Sparse Attention 2 and FP4 KV caching, reducing memory per token. Explains how the Baseten Inference Stack uses NVIDIA Dynamo and KV cache-aware routing for production inference.