Open source revolution: How to challenge Deepseek-R1 Openai’s O1 with superior treatment and cost efficiency

The artificial intelligence industry is witnessing a shift with the introduction of Deepseek-R1, an open source thinking model developed by the Chinese startup company called Dibsic. This model was released on January 20, and the Openai’s O1 challenge – the leading AI system – is witnessing a similar performance in a small part of the cost. But how do these models accumulate in the real world applications? What does this mean for institutions and developers?

In this article, we delve deeper into the practical test, practical effects and implementable visions to help technical decision makers understand the model that suits their needs.

Realistic effects in the world: Why is this comparison important

Competition between Deepseek-R1 and Openai O1 is not only related to standards-but rather the effect of the real world. Institutions are increasingly dependent on artificial intelligence such as data analysis, automation of customer service, decision -making and coding assistance. The choice between these models can significantly affect cost efficiency, improve workflow and innovation capabilities.

The main questions of the institutions:

• Is it possible to save costs in Deepseek-R1 to justify its dependence on Openai O1?
• How do these models in real world scenarios such as sports account, think -based analysis, financial modeling, or software development?
• What are the bodies between open source flexibility (Deepseek-R1) and the royal durability (Openai O1)?

To answer these questions, we conducted a practical test by thinking, solving mathematical problems, coding tasks and decision -making scenarios. This is what we found.

Practical test: How to do a deep performance and Openai O1

Question 1: logical reasoning

If A = B and B = C and C ≠ D, what is the final conclusion that can be extracted about A and D?

analysis:

• Openai O1: Organized thinking well with official data.
• Deepsek-R1: A more accurate and more brief presentation.
• Treatment time: Deepseek (0.5s) opposite Openai (2S).
• Winner: Deepseek-R1 (equal resolution, 4X faster, more brief).

Measurements:

• Symbols: Deepseek (20) opposite Openai (42).
• Cost: Deepseek ($ 0.00004) for Openai ($ 0.0008).

The main insightDeepSeek-R1 achieves the same logical clarity with better efficiency, making it ideal for large-sized applications in actual time.

Question 2: Set the theory problem

In a room of 50 people, 30 like coffee, 25 like tea and 15 like both. How many people do not like coffee or tea?

analysis:

• Openai O1: Detailed sports blogging.
• Deepsek-R1: A direct solution with clear steps.
• Treatment time: Deepseek (1S) opposite Openai (3S).
• Winner: Deepseek-R1 (clearer offer, 3x faster).

Measurements:

• Symbols: Deepseek (40) opposite Openai (64).
• Cost: Deepseek ($ 0.00008) for Openai ($ 0.0013).

The main insightDEPSEK-R1 Summary approach keeps clear while improving speed.

Question 3: Sports account

Calculate the exact value of: √ (144) + (15² ÷ 3) – 36.

analysis:

• Openai O1: numbered steps with a detailed breakdown.
• Deepsek-R1: a clearly clear account.
• Treatment time: Deepseek (1S) opposite Openai (2S).
• Winner: Deepseek-R1 (equal clarity, 2X faster).

Measurements:

• Symbols: Deepseek (30) opposite Openai (60).
• Cost: Deepseek ($ 0.00006) for Openai ($ 0.0012).

The main insight: Both models are accurate; Deepsek-R1 is more efficient.

Question 4: Advanced mathematics

If x + y = 10 and x² + y + y = 50, what are the exact values ​​of X and Y?

analysis:

• Openai O1: A comprehensive solution with detailed steps.
• Deepseek-R1: An effective solution with distinctive major steps.
• Treatment time: Deepseek (2S) opposite Openai (5s).
• Winner: Tie (Openai Better Learning; Deepseek Better for Practice).

Measurements:

• Symbols: Deepseek (60) opposite Openai (134).
• Cost: Deepseek ($ 0.00012) for Openai ($ 0.0027).

The main insightThe choice depends on the state of use – teaching for practical application. Deepsek-R1 exceeds the speed and accuracy of logical and sports tasks, making it ideal for industries such as financing, engineering and data science.

Question 5: Investment Analysis

The company has a budget of $ 100,000. Investment options: Option A gives 7 % yield at 20 % risks, while the B option gives 5 % background with 10 % risks. Any option increases potential profit while reducing risk?

analysis:

• Openai O1: a detailed risk analysis.
• Deepseek-R1: Direct comparison with the main metrics.
• Treatment time: Deepseek (1.5s) opposite Openai (4S).
• Winner: Deepseek-R1 (Sufficient Analysis, 2.7X faster).

Measurements:

• Symbols: Deepseek (50) opposite Openai (110).
• Cost: Deepseek ($ 0.00010) for Openai ($ 0.0022).

The main insight: Performing both models well in decision-making tasks, but short and executable outputs for Deepseek-R1 make them more suitable for time-sensitive applications. Deepseek-R1 provides more efficiently practical visions.

Question 6: efficiency account

You have three delivery methods with different distances and time restrictions:

• Road A: 120 km, 2 hours
• Road B: 90 km, 1.5 hours
• Road A: 150 km, 2.5 hours

Which way is more efficient?

analysis:

• Openai O1: Organized analysis with methodology.
• Deepsek-R1: Clear accounts with direct conclusion,
• Treatment time: Deepseek (1.5s) opposite Openai (3S).
• Winner: Deepseek-R1 (equal resolution, 2X faster).

Measurements:

• Symbols: Deepseek (50) opposite Openai (112).
• Cost: Deepseek ($ 0.00010) for Openai ($ 0.0022).

The main insight: Both are flour. Deepsek-R1 is more efficient in time.

Question 7: The task of coding

Write a function to find the most common element in a bench with the complex time of O (N).

analysis:

• Openai O1: A well -documented symbol with interpretations.
• Deepseek-R1: Clean Code with Basic Documents.
• Treatment time: Deepseek (2s) opposite Openai (4S).
• Winner: depends on the implementation state (Deepseek for Implementation, Openai for learning).

Measurements:

• Symbols: Deepseek (70) opposite Openai (174).
• Cost: Deepseek ($ 0.00014) for Openai ($ 0.0035).

The main insight: Both are effective, with different strengths to meet different needs. Deepseek-R1 makes it a strong competitor to software development and automation.

Question 8: The design of the algorithm

Designed to verify whether a specific number is the perfect Palindrome without converting it into a chain.

analysis:

• Openai O1: A comprehensive solution with a detailed explanation.
• Deepsek-R1: Effective implementation with the main points.
• Treatment time: Deepseek (2S) opposite Openai (5s).
• Winner: Deepseek, Openai to understand it).

Measurements:

• Symbols: Deepseek (70) opposite Openai (220).
• Cost: Deepseek ($ 0.00014) for Openai ($ 0.0044).

Seeing the key: The choice depends on the basic need – speed for details.

Comprehensive performance measures

• Total treatment time: Deepseek (11.5s) opposite Openai (28S).
• Total symbols: Deepseek (390) opposite Openai (916).
• Total cost: Deepseek ($ 0.00078) for Openai ($ 0.0183).

Recommendations

1. Production environment
   • Basic: Deepseek-R1.
   • Benefits: faster processing, low costs, sufficient accuracy.
   • Best for: applications programming facades, high -size processing, and actual time applications.
2. Educational/training
   • Basic: Openai O1.
   • Alternative: DeepSeek-R1 for practice exercises.
   • Better for: detailed interpretations, and learn new concepts.
3. Foundation’s development
   • Primary: DeepSeek-R1 for implementation.
   • Secondary: Openai O1 for documentation.
   • Consider: hybrid approach based on the specific needs.
4. The sensitive operations of the cost
   • Strongly recommends: Deepseek-R1.
   • Reason: 2.4x faster, ~ 23x costly costly.
   • Note: Maintains quality while reducing the use of resources.

Conclusion: What is the model you should choose?

The choice between Deepseek-R1 and Openai O1 depends on your specific needs and priorities.

Choose Deepseek-R1 if:

• You can specify the priority of cost efficiency, because it is more effective.
• The fastest treatment (2.4x is faster on average) is very important to your needs.
• Your focus is on actual time, high -size processing or effective sports accounts.
• You are an emerging company, a researcher or developer looking for a customized and customized AI solution.

Choose Openai O1 if:

• You need a detailed interpretation and step -by -step explanations for educational purposes or training.
• The possibilities of widespread thinking and the reliability of the institutional class are very important for your projects.
• The budget is not a major restriction, and the polished performance, comprehensive documents and companies support are estimated.

Choose a hybrid approach if:

• You have various needs through different projects.
• You want to use Deepseek-R1 for fast development and implementation.
• You need Openai O1 to create detailed documents or training materials.

Final ideas

The rise of Deepseek-R1 indicates a transformational transformation in the development of artificial intelligence, which represents an effective and high-performance alternative to commercial models such as Openai’s O1. Its open nature and strong thinking capabilities have been placed in its place as a letter of games for startups, developers and budget -aware institutions.

DeepSeek-R1’s performance analysis indicates significant progress in the abilities of artificial intelligence, which provides not only cost savings but also concrete faster treatment (2.4X) and the most obvious outputs compared to Openai’s O1. The model mixture of speed, efficiency and clarity makes it an ideal choice for production and applications in actual time.

With the development of the scene of artificial intelligence, it is possible that the competition between Deepseek-R1 and Openai O1 innovation and enhance the accessibility, which benefits the entire ecosystem. Whether you are a technical decision maker or a curious developer, it is now the moment to explore how these models can revolutionize your workflow and cancel new opportunities. The future of artificial intelligence appears increasingly accurate, as models are evaluated based on measureable performance instead of belonging to the brand.