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The R1 model made public last week appears to match OpenAI’s newer 01 models on several benchmarks. DeepSeek claims to have spent less than $6 million to train it compared to the hundreds of ...
R1 came on the heels of its previous model V3, which launched in late December. ... DeepSeek’s scores on benchmarks keep pace with the latest cutting-edge models from top AI developers in the ...
The company launched an eponymous chatbot alongside its DeepSeek-R1 model in January 2025. Released under the MIT License, DeepSeek-R1 provides responses comparable to other contemporary large language models, such as OpenAI's GPT-4o and o1. [6] Its training cost is reported to be significantly lower than other LLMs.
Adnan Masood of U.S. tech services provider UST told Reuters that his laboratory had run benchmarks that found R1 often used three times as many tokens, or units of data processed by the AI model ...
DeepSeek grabbed headlines in late January with its R1 AI model, which the company says can roughly match the performance of Open AI’s o1 model at a fraction of the cost.
DeepSeek astonished the sector two weeks ago by releasing a reasoning model called R1 that could match o1’s performance in many tasks, despite the fact that it cost a fraction as much to train.
DeepSeek, an AI lab from China, is the latest challenger to the likes of ChatGPT. Its R1 model appears to match rival offerings from OpenAI, Meta, and Google at a fraction of the cost.
R1 was based on DeepSeek’s previous model V3, which had also outscored GPT-4o, Llama 3.3-70B and Alibaba’s Qwen2.5-72B, China’s previous leading AI model. Upon its release in late December ...
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