Recently , a fresh AI model calledDeepSeek R1has been making waving in the AI world . What start as a side projectto “ put the excavation GPUs to body of work ” has turned into a massive success . DeepSeek ’s R1 performs on equation with OpenAI ’s top - grade o1 model but does so with just 3 % of the price . No point for guessing it came out of China .
In fact , DeepSeek is presently the # 1 app on the App Store , and its popularity has regard the stock prices of many U.S. AI companies , including Alphabet , Microsoft , and Meta . Most notably , Nvidia saw its stemma price cliff most 17 % .
So what make DeepSeek ’s R1 model better thanOpenAI ’s o1 model ? Let ’s observe out .
Table of Contents
1. Free to Use
First off , DeepSeek R1 is wholly innocent to expend and open source . It ’s a logical thinking example , intend it takes time to analyze its own answers and reasonableness to solve problem and provide answers , unlike general - purpose AI models . These reasoning models are loosely expensive to go . DeepSeek ’s R1 is completely loose to expend but there is more . you could install and run it topically on your motorcar too .
In contrast , OpenAI ’s o1 Model is available only toChatGPT Plus , with high tier up make up to$200 per month . However , in reply to the competition from DeepSeek , OpenAI announced that their new o3 - miniskirt model would be uncommitted to devoid users .
ok we discover y’all.plus tier will get 100 o3 - mini queries per DAY ( ! ) * we will bring operator to plus tier as soon as we canour next agent will set up with availability in the plus tierenjoy 😊 https://t.co/w8sFsq6mI1
2. Open-Source
DeepSeek R1 is a fully open - source model licensed under MIT . This means user can reach the codification , modify it , and build impost root on top of it . The open - source nature of the good example enables everyone to realise how it works . Additionally , people can download and execute the model on their own devices or servers , which enhances privacy and control .
In contrast , OpenAI ’s o1 modelis proprietary . As a result , users can not see the underlie processes , understand how the mannikin function , or amply verify its concealment and certificate claims .
3. Generous Usage Limits
With a$20 Plus subscription , OpenAI proffer only 50 messages per week with the o1 model unless you ’re on their Pro plan . DeepSeek , on the other deal , provides a generous 50 message per day — completely destitute . All you require to do is download their app or visit their site to start using it .
4. Smaller Models Can Even Run on Your Laptop
While you get 50 messages per day on their website , you’re able to remove that limit by download the model to your laptop . Then you get straight-out messages .
DeepSeek R1 offers smaller , distilled models . One of them is the 1.5B framework – a lightweight role model that can run easy on your laptop or system . envisage having an advanced AI reasoning modelling on your personal gimmick . This means you may run it offline without the cyberspace . No need to worry about privateness and you may even customize it to your need if you choose .
5. Can Access Internet with Reasoning Model
Both OpenAI and DeepSeek put up a abstract thought model and search lineament that can fetch information from the cyberspace . However , OpenAI can only practice one at a time . That means if you are using the o1 ( abstract thought model ) , you could not check the net for updates . Its noesis is limited to the grooming data point that ends in October 2023 .
DeepSeek R1 ’s reasoning role model can reach the internet . So it can fetch up - to - escort information when you are interacting with it . This allows R1 to tap into current events , late data , and real - time updates into its reception , which is not potential with the o1 model as of now .
6. Can Check the Entire Reasoning Process
foil is another area where DeepSeek R1 shine . The model displays its logical thinking and how it arrive at the last or answer footmark - by - step . This feature film is specially useful for debug and understanding complex output . Also , the full logical thinking process is written from the DeepSeek AI model ’s perspective , which is wholesome and adds a pinch of personality .
OpenAI ’s o1 mannikin does n’t offer this transparence . While it produces answer , you ca n’t see the thought summons behind them .
7. Superior Performance in Specific Benchmarks
In term of performance , DeepSeek R1 is corresponding to the o1 mannequin . However , in specific benchmarks — particularly maths - link up ones — DeepSeek R1 outperform OpenAI ’s o1 . For instance , DeepSeek scored a Pass@1 rate of 97.3 % on MATH-500 compared to OpenAI ’s 96.4 % . It also achieved gamy scores on the American Invitational Mathematics Examination ( AIME ) , scoring 79.8 compared to OpenAI ’s 78.2 .
DeepSeek is also extremely militant in lucid reasoning and rally tasks . While OpenAI ’s o1 excels in broad program , DeepSeek ’s place strengths make it a better option for math - leaden and logic - driven tasks .
8. Cost Efficient for Developers
For developer , DeepSeek R1 is incredibly monetary value - efficient . Its API costs are 90 - 95 % cheaper than OpenAI ’s . For example , process 1 million remark and yield tokens combined costs about $ 2.74 on DeepSeek , compared to $ 75 on OpenAI ’s o1 . merge this affordability with its unfastened - source nature , and you ’ve got an AI peter that ’s not just effectual but also budget - friendly .
9. Efficient Training Methodology
While this might not flat impact user , it ’s deserving noting that DeepSeek ’s grooming was incredibly effective . Using a admixture of Experts ( MoE ) architecture , it trip only 37 billion parameters during inference , despite the model stop 671 billion parameters overall . This approach reduced hardware demands and training costs . This is one of the major reasons why Nvidia ’s stock prices are down , as DeepSeek is showing the world that massive host top executive is not necessary to go a good AI poser . you could do it for a fraction of the cost , something that is China ’s USP .
DeepSeek R1 > OpenAI o1
DeepSeek , despite being free and open - source , is also effective , pop the question more functionality , more generous message limit , better operation in several tasks , and even shows its entire abstract thought process .
Not just in theory — we’ve also tested both poser in existent - world usage , and DeepSeek R1 outdo OpenAI ’s o1 in our testing .
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