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.
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