DeepSeek-V4.1-Flash: smarter, faster, more efficient
Official release introducing an asymmetric causal encoder-decoder architecture and linking its technical report and model resources.
Reasoning · MoE · Efficient training. Selected primary papers, reports, model cards and official technical articles. Checked 2026-10-25. Product announcements are not presented as papers.
Official release introducing an asymmetric causal encoder-decoder architecture and linking its technical report and model resources.
Sparse attention and post-training methods are combined to improve efficiency, reasoning and agent-oriented behavior.
Reinforcement learning is used to develop reasoning behavior, with additional pipelines for usable models and distillation.
A mixture-of-experts language model combines architectural and training-efficiency techniques, including latent attention and multi-token prediction.
This index currently holds 4 records attributed to DeepSeek (2024–2026). Each entry links to the primary source; product announcements and news posts are not counted as papers.
These records come from other institutions but address the same topics, so the lab can be read in context.