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DeepSeek has announced the launch of the DeepSeek-R1 model, which is considered a significant advancement in the field of open-source artificial intelligence. This model offers exceptionally high performance that competes with OpenAI's o1 model, and is particularly efficient in handling mathematical problems, programming, and solving complex issues.
The model includes 671 billion parameters, but only 37 billion are active during operation, making it powerful and resource-efficient. It also utilizes reinforcement learning techniques in the post-training phase, which helps it achieve exceptional performance with very limited data.
The most important feature of DeepSeek-R1 is that it is open-source with an MIT license, meaning it is available for commercial use and modification freely, encouraging innovation and collaboration among developers and companies. In addition to the main model, DeepSeek has released 6 lighter versions ranging from 1.5 billion to 70 billion parameters, with the 32B and 70B versions proving to be competitive with OpenAI's o1-mini model.
The model is available for use through the website chat.deepseek.com, which offers a "Deep Thinking" mode, or via an API for developers at very competitive prices, such as $0.14 per million input tokens and $2.19 per million output tokens.
Global performance tests like AIME, MATH-500, and SWE-bench Verified have confirmed that DeepSeek-R1 excels in logical reasoning, deep analysis, and answer verification. This model is not only a tool for developers but also a major step forward for companies looking for powerful and flexible AI solutions.
The model includes 671 billion parameters, but only 37 billion are active during operation, making it powerful and resource-efficient. It also utilizes reinforcement learning techniques in the post-training phase, which helps it achieve exceptional performance with very limited data.
The most important feature of DeepSeek-R1 is that it is open-source with an MIT license, meaning it is available for commercial use and modification freely, encouraging innovation and collaboration among developers and companies. In addition to the main model, DeepSeek has released 6 lighter versions ranging from 1.5 billion to 70 billion parameters, with the 32B and 70B versions proving to be competitive with OpenAI's o1-mini model.
The model is available for use through the website chat.deepseek.com, which offers a "Deep Thinking" mode, or via an API for developers at very competitive prices, such as $0.14 per million input tokens and $2.19 per million output tokens.
Global performance tests like AIME, MATH-500, and SWE-bench Verified have confirmed that DeepSeek-R1 excels in logical reasoning, deep analysis, and answer verification. This model is not only a tool for developers but also a major step forward for companies looking for powerful and flexible AI solutions.