What makes DeepSeek V4.1 Flash efficient for inference?

DeepSeek V4.1 Flash utilizes Multi-Head Latent Attention (MLA) to compress the Key-Value (KV) cache by up to 93%, drastically lowering GPU memory requirements while maintaining high output quality.

DeepSeek V4.1 Flash High-Efficiency Inference Architecture & Specs

📥 54.8K Downloads

🕒 2 weeks ago

#vision #tools #thinking #cloud

DeepSeek-V4.1-Flash is an advanced tool designed to enhance search capabilities, providing users with faster and more accurate results.

🏷️ Pricing Benchmark

Per 1M Tokens

Input

$0.30

Cached Input

$0.006

Output

$1.20

⚡ Quick Start Snippets

ollama run deepseek-v4.1-flash:cloud

🚀 Applications

Claude Code

ollama launch claude --model deepseek-v4.1-flash:cloud

Terminal-native AI coding assistant using DeepSeek V4.1 reasoning backend.

OpenCode

ollama launch opencode --model deepseek-v4.1-flash:cloud

Open-source developer agent workspace for automated refactoring and testing.

Hermes Agent

ollama launch hermes --model deepseek-v4.1-flash:cloud

Autonomous multi-step tool-use agent for web research and API integrations.

OpenClaw

ollama launch openclaw --model deepseek-v4.1-flash:cloud

High-speed document parsing and web extraction pipeline.