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Reading: The new generation of Dipsic artificial intelligence is probably 97 percent cheaper than the GPT-4 • DigiKala Mag
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RCO NEWS Daily world news agency Based on Dubai, UAE > Blog > Technology > artificial-intelligence > The new generation of Dipsic artificial intelligence is probably 97 percent cheaper than the GPT-4 • DigiKala Mag
artificial-intelligence

The new generation of Dipsic artificial intelligence is probably 97 percent cheaper than the GPT-4 • DigiKala Mag

IT Technology
Last updated: 2025/04/28 at 3:25 PM
IT Technology
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There is news from China that shows the company Deep Sik In the process of unveiling of a model Artificial Intelligence The new is called R2. Speculation suggests that the model can create a new wave in the world market of artificial intelligence, especially as leaked information reports its very low pricing. According to this information, the cost of using the R2 Deepsic may be up to 97 percent lower than the powerful GPT-4 model, which has the potential to change current equations.

Previously, the Deepseek R1 had shown China’s ability to compete with Western artificial intelligence giants. Introducing the R1 had a significant impact on the financial markets and led to the devaluation of the stocks of large technology companies in the US. This has proven that there is no need for big and staggering investments to develop large and advanced language models, as companies such as Openai claim. Now, rumors about the R2 model have raised expectations to see larger and more significant improvements.

One of the key features of the R2 Deepsic is its utilization of the advanced MOE architecture, or “Mixture of Experts”. This architecture is probably designed using a new or smart combination of MOE layers and dense layers to manage heavy computing processing with higher performance. It is also said to be about 1.2 trillion parameters, almost twice as much as the previous model, R1. This large number puts the R2 along with highly advanced models such as the Gpt-4 Turbo and Gemini 2.0 Pro Google, indicating its potential power.

But the most attractive part of the rumor is the cost of using this powerful model. According to unofficial reports, the processing cost of one million input tokens at Deepseek R2 will be only $ 0.07 and the processing cost of one million output token will be about $ 0.27. These figures represent an almost 97 % decrease in Openai’s GPT-4 costs. If this pricing is approved, Deepseek R2 can quickly become one of the most economical and attractive options for businesses, organizations and developers seeking to use advanced artificial intelligence with limited budget. This dramatic reduction in costs can make access to high -level technologies more democratic and bring about a serious change in the economic aspects of artificial intelligence.

Deepsic

Another thing about R2 is related to its educational infrastructure. Apparently, the training process of this model was carried out using the Ascend 910b chips made by Huawei. Deepseek has achieved 82 % of the processing cluster that represents the company’s successful optimizations in using internal hardware. The processing power of this cluster reaches 512 Petaflaps in fp16 accuracy. This success in maximizing the exploitation of domestic resources and Chinese chips shows Deepseek’s attempt to integrate its supply chain vertically and reduce dependence on foreign suppliers.

It should be emphasized, however, that all of this information is currently in the rumor and unconfirmed reports. Deepsick has not yet officially announced the details. However, if these speculations are true and Deepseek R2 is offered at such a cost and cost, we will undoubtedly see another great surprise in the field of artificial intelligence. Such a model can change the balance of power in the market and put a more serious challenge to Western competitors, especially US companies. We have to wait and see if Deepseek will once again surprise the technology world.

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TAGGED: artificial, cheaper, Digikala, Dipsic, generation, GPT4, intelligence, Mag, percent
IT Technology April 28, 2025 April 28, 2025
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