OpenAI’s O3 Mini vs. DeepSeek R1: Which One Wins?
Updated: February 25, 2025
Summary
In this video, the Open O3 Mini and Deep Seek R1 models are compared in terms of their capabilities and cost. The O3 Mini, available at a lower price, offers a larger context window compared to the more expensive Deep Seek R1. The video presents testing results that demonstrate how each model handles reasoning tasks and coding challenges effectively. Viewers are shown detailed insights into the performance of both models, including their abilities to simulate chains of thought and solve puzzles like the Monty Hall problem. Overall, the comparison highlights the differences in capabilities and reliability between the two models when it comes to programming and reasoning tasks.
Comparison of Open O3 Mini and Deep Seek R1
A comparison of Open O3 Mini and Deep Seek R1 models on various coding and reasoning tasks, including cost and capabilities.
Cost Comparison
Open O3 Mini is currently available on open, while Deep Seek R1 is offered at a higher price, almost double the cost of O3 Mini, with differences in input, output, and context window size.
Comparative Features
Open O3 Mini offers a larger context window than Deep Seek R1, providing more capabilities such as reasoning and chain of thought simulation.
Testing and Results
Testing results of both models, showcasing how they handle reasoning tasks and coding challenges with detailed insights into their performance.
Reasoning Capabilities
Deep Seek R1 and O3 Mini are assessed on their reasoning abilities through various prompts, including picking random numbers and solving puzzles like the Monty Hall problem.
Conclusion
A comparison of the performance of Deep Seek R1 and O3 Mini on programming problems and reasoning tasks, emphasizing the differences in their capabilities and reliability.
FAQ
Q: What are the main differences between Open O3 Mini and Deep Seek R1 models in terms of cost and capabilities?
A: Open O3 Mini is currently available at a lower cost compared to Deep Seek R1, which is almost double the price of O3 Mini. O3 Mini offers a larger context window and more capabilities like reasoning and chain of thought simulation.
Q: How do Open O3 Mini and Deep Seek R1 models differ in terms of input, output, and context window size?
A: Open O3 Mini has a larger context window compared to Deep Seek R1, which impacts their respective input, output, and overall performance on tasks.
Q: What kind of tasks were used to assess the reasoning abilities of Deep Seek R1 and O3 Mini?
A: Both models were tested on various prompts such as picking random numbers and solving puzzles like the Monty Hall problem to evaluate their reasoning capabilities.
Q: What insights were gained from testing the performance of Deep Seek R1 and O3 Mini on reasoning tasks and coding challenges?
A: The testing results provided detailed insights into how the models handle reasoning tasks, coding challenges, and showcased differences in their performance, capabilities, and reliability.
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