DeepSeek R1, the thinking version of China’s AI start-up which asserts to supply efficiency on the same level with market’s leading versions at a portion of the price, is currently readily available on the United States online search engine start-up Perplexity AI, and it will certainly sustain deep internet research study.
“DeepSeek R1 is now available on Perplexity to support deep web research. There’s a new Pro Search reasoning mode selector, along with OpenAI o1, with transparent chain of thought into model’s reasoning,” stated the firm in a blog post on X.
“We’re increasing the number of daily uses for both free and paid as add more capacity during the day. Stay tuned,” checks out the message.
Further mentioning that DeepSeek on Perplexity is held in US/EU information facilities, the firm stated, “Your data never leaves Western servers. The open source model is hosted completely independent of China. Your privacy and data security is our priority.”
A couple of hours back, Perplexity AI CHIEF EXECUTIVE OFFICER Aravind Srinivas praised DeepSeek AI for reaching # 1 on the App Store and stated, “For a while, it wasn’t clear who would beat ChatGPT for the first time. The best we could manage was #8, a year ago. Look forward to using all their models for search, assistant, and agents this year.”
Meanwhile, reacting to a concern raised by an X user, Srinivas said, “All DeepSeek usage in Perplexity is through models hosted in data centers in the USA and Europe. DeepSeek is *open-source*. None of your data goes to China.”
Srinivas also shared a meme to show how the pro users of Perpliexity would react.
The DeepSeek-R1, released last week by a small Hangzhou-based startup founded in 2023, is 20 to 50 times cheaper to use than OpenAI o1 model, depending on the task, according to a post on DeepSeek’s official WeChat account, reported Reuters.
Bloomberg reported that DeepSeek R1 is near or far better than competing versions in a number of leading standards such as AIME 2024 for mathematical jobs, MMLU for basic expertise and AlpacaEval 2.0 for question-and-answer efficiency.
