deepseek-r1

Neural Network

DeepSeek R1 is an open-source neural network model specializing in mathematics, programming, and logical deduction. It processes up to 128,000 tokens at a time, easing work on large-scale projects and complex calculations. Users gain a powerful tool for quickly solving practical tasks and optimizing processes (DeepSeek Insider, Writesonic).

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deepseek-r1
8 000

Max. Response Length

(in tokens)

64 000

Context Size

(in tokens)

0,5 USD

Prompt Cost

(per 1M tokens)

2,18 USD

Response Cost

(per 1M tokens)

0 USD

Prompt Image

(per 1K tokens)

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How it works deepseek-r1?

The main benefit is significant time and resource savings. DeepSeek R1 outperforms some models in coding and mathematical tests while maintaining low cost. Thanks to its Mixture of Experts architecture, only a portion of its parameters are activated, reducing strain on equipment. The model integrates easily into local infrastructure and allows flexible functionality expansion via API. Thus, DeepSeek R1 becomes a rational choice for those in search of a powerful, affordable, and scalable tool for solving a wide variety of tasks.