# DeepSeek v4.1 Flash

> Source: <https://twitter.com/deepseek_ai/status/2097930608790167907>
> Published: 2026-09-10 06:11:05+00:00

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.
1/6" / X

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.
1/6"

🚀 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.
1/6

🚀 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.
1/6

🧠 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 ofShow more

💾 Smaller KV cache. Bigger savings.
Compared with the previous generation, V4.1-Flash’s KV cache needs just:
🔹 1/4 the HBM
🔹 1/8 the SSD storage
Cache-hit charges often account for a large share of agent costs. Compressing the cache cuts those costs significantly.
3/6

⚡ V4.1-Flash is now live on the DeepSeek API with native multimodal support.
Set your model to deepseek-flash.
🔹 V4-Flash & V4-Flash-Vision-Exp are retired. For compatibility, deepseek-v4-flash and deepseek-v4-flash-vision-exp temporarily route to V4.1-Flash.
🔹 Tests byShow more

💰 More efficient architecture. Lower API prices.
V4.1-Flash lets us serve more users at a lower cost. We’re passing the savings on to you.
🔹 Peak/off-peak pricing continues to balance demand.
🔹 Off-peak rates are 50% of peak rates. Schedule flexible workloads off-peak toShow more

🌐 Supporting open source. Expanding deployment options.
We’ll work closely with the open-source community on V4.1-Flash inference support and explore more deployment options.
Planning a large-scale deployment with 2,000 GPUs + a storage cluster? Let’s talk.
🔹 Model:Show more

Quick one: DeepSeek V4.1 Flash lands on WorkBuddy/CodeBuddy, co-launched exclusively in China, discounted for two weeks.
TokenHub, ima, and Marvis are live day 0 as well. Well played, @deepseek_ai 🫡 V4.1 Flash is a really solid model, major gains across text and agentShow more