DeepSeek has released DeepSeek V4.1 Flash 1017, an updated multimodal model built on their Causal Encoder-Decoder (CED) architecture. This sparse mixture-of-experts model activates 8B parameters for input and 16B for output from a 552B-parameter backbone, optimizing for coding, agentic tasks, and long-horizon applications. The model features native image understanding and significantly reduced KV cache memory for cost-efficient agentic workloads, reportedly outperforming previous versions in speed and task completion. AI
IMPACT This release enhances agentic capabilities and coding performance, potentially lowering costs for complex, long-horizon tasks.
RANK_REASON Frontier-lab model release with system card.
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- DeepSeek-v4.1-Flash-1017
- DeepSWE v1.1
- MIT
- Causal Encoder-Decoder
- DeepSeek
- DeepSeek V4.1 Flash
- DeepSeek V4 Pro
- OpenRouter
- SGLang
- transformers
- vLLM
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