Deepseek R1 vs OpenAi O3-mini: Comparison and definitive verdict

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We have not stopped listening to new news about Depseek for every new minute. Among all this stir, if you are a currant, either on account of others or autonomous that takes advantage every day of the possibilities offered by AI to automate tasks, help you with some points of your work, or to organize yourself, surely you are wondering So, can I change or not? Keep reading to see the final comparison and the final verdict, of a user who, like you, just wants to know which one will help him better and easily and quickly.

The world of artificial intelligence continues to advance by leaps and bounds, and two of the most recent models, Deepseek R1 and OpenAi O3-mini, are giving much to talk about. Both promise exceptional performance in coding, logical reasoning and problem solving tasks, but which one is better? In this article, we are going to compare in depth your capabilities and determine which is the best option according to the use you want to give.

Architecture and accessibility

Before talking about performance, it is important to understand how they are built and how accessible these models are.

  • OPENAI O3-MINI: This is a proprietary model developed by OpenAI, optimized to offer quick response times without losing precision in reasoning. To use it, it is necessary to access OpenAi API services, which implies an associated cost.
  • Deepseek R1: This model, on the other hand, is open source and can be freely downloaded and integrated into different applications. It has been designed by a Chinese startup and stands out for its balance between performance and cost.

As for the price, OpenAI O3-mini has a € 1.10 rate per million input tokens and € 4.40 per million tokens outkens, while Deepseek R1 is cheaper with € 0.14 per million Input tokens and € 2.19 per million output tokens.

Deepseek R1 and OpenAi O3-mini comparison

If you have been a little checkered with the east theme of the tokens, take note. Tokens are units of measure that artificial intelligences such as chatgpt use to calculate the use and cost of text processing. Basically, a Token can represent a word, part of a word or a character in a consultation.

In your case, if you are paying € 20 per month for Chatgpt Plus, you have unlimited access to GPT-4O, which is a more advanced version of Openai, but without having to worry about the tokens count. However, when we talk about professional use (for example, integrating AI in an application or using your API for business developments), OpenAi charges according to the amount of processed tokens.

Performance comparative

Now, how do they perform in real tasks? We analyze your behavior in three key scenarios.

Coding

Both models were tested in the generation of code for an animation in JavaScript. The results were interesting:

  • OpenAI O3-mini: generated the code in 27 seconds, showing a clear and well-organized structure. The code worked correctly and respected the instructions given.
  • Deepseek R1: It took 1 minute and 45 seconds, but the resulting animation had a more precise mixture of colors. However, he merged the balls in the simulation, which was not expected.

Winner: OpenAi O3-mini, for speed and precision in the response.

Logical reasoning

They were asked to solve a purse -based puzzle.

  • OpenAI O3-MINI: Its analysis process was very structured, broken down every step step by step and verifying its conclusions.
  • Deepseek R1: Although it reached the correct answer, its explanation was less detailed and its reasoning process was not so reliable.

Winner: Openai O3-mini, no matter how more clarity in the explanation.

Deepseek R1 vs OpenAi compare

Stem problem solving

To evaluate their capacity in science and mathematics, they were asked to solve an electrical circuit problem.

  • OPENAI O3-MINI: responded in 11 seconds, with a detailed breakdown of the mathematical steps and a rounded response automatically.
  • Deepseek R1: It took 80 seconds to solve the problem and its explanation was more extensive, but equally precise.

Winner: OpenAi O3-mini, by speed and clarity.

So which is better?

The choice between Openai O3-mini and Deepseek R1 depends on what you are looking for:

  • If you need speed, efficiency and well-structured responses, Openai O3-mini is the best choice. Of course, it has a higher cost and it is a proprietary system.
  • If you prefer an economic and open source option, Depseek R1 is a great alternative, although in some cases it can be slower and less accurate.

In our comparison, Openai O3-mini wins for its superiority in speed and response quality, but the price and accessibility are key factors for you, Deepseek R1 is still an option to consider.

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