DeepSeek v4.1 Flash
DeepSeek has launched V4.1-Flash, a new, more efficient MoE model featuring native multimodal capabilities and an asymmetric architecture. The update aims to reduce inference costs and KV cache requirements while improving overall performance.
Why it matters
The release highlights the ongoing industry trend of optimizing LLM efficiency and reducing operational costs for developers and API users.
DeepSeek on X: "🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🧠 Asymmetric architecture. More intelligence, less cost.
🔹 552B-parameter MoE. 🔹 New Causal Encoder–Decoder architecture: just 8B active parameters for input, 16B for output. 🔹 New pre-training methods + larger-scale RL post-training deliver benchmark results ahead of
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in