not much happened today

**DeepSeek** launched **V4.1-Flash**, a new open-weight flagship model focused on extreme inference efficiency and low cost, featuring a **763B total-parameter** causal encoder-decoder architecture with **8B active input** and **16B active output** parameters and **1M-token context**. It scored **40 on the Artificial Analysis Intelligence Index**, outperforming its predecessor and ranking just below **GLM-5.3-Flash**. The model supports text and image input, is available under an **MIT license**, and is accessible via US/API. The architecture introduces a novel causal encoder-decoder design aimed at reducing active compute and KV/cache costs, with a hybrid sparse/local approach and a unique vision encoder differing from recent Chinese models. Early layers use a **SWA-only** pattern, and the model has an effective depth of about **40 layers** with **20 decoder layers**. Baseten and Ollama have begun supporting and rolling out the model to users.