Yahoo Finance

DeepSeek releases ‘sparse attention’ model that cuts API costs in half

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
techtimes

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

In this photo illustration, the DeepSeek app is displayed on an iPhone screen on January 27, 2025 in San Anselmo, California. Newly launched Chinese AI app DeepSeek has surged to number one in Apple's ...
Your Story

DeepSeek unveils ‘sparse attention’ model that cuts API costs by 50%

Chinese AI company DeepSeek has released an experimental large language model with a new “DeepSeek Sparse Attention” mechanism and has said it has reduced its API pricing by “50%+,” in a move aimed at ...
eWeek

DeepSeek Debuts Sparse Attention for Faster, More Efficient AI

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
Deccan Chronicle

DeepSeek Debuts ‘Sparse Attention’ Method in Next-Gen AI Model

DeepSeek updated an experimental AI model Monday in what it called a step toward next-generation artificial intelligence. The secretive Chinese startup outlined the DeepSeek-V3.1-Exp platform, ...
moneycontrol.com

DeepSeek introduces sparse attention model to slash API costs

DeepSeek has launched the V3.2-exp model, introducing Sparse Attention to cut inference costs in long-context tasks by nearly half, with open access on Hugging Face for testing. DeepSeek has unveiled ...
Geeky Gadgets

How DeepSeek 3.2 Uses Specialists & Improved Memory to Outthink Gemini 3.0 Pro

What if we told you that an open source AI just outperformed one of the most advanced proprietary models on the market? Yes, you read that right—DeepSeek 3.2 has officially outclassed Gemini 3.0 Pro, ...
Semiconductor Engineering

HW-Aligned Sparse Attention Architecture For Efficient Long-Context Modeling (DeepSeek et al.)

A new technical paper titled “Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington.
Ars Technica

DeepSeek tests “sparse attention” to slash AI processing costs

Chinese lab's v3.2 release explores a technique that could make running AI far less costly. As always, the real test is real-world usage, not benchmarks. I wouldn't be at all surprised to find the ...