OpenAI’s O3 Mini vs. DeepSeek R1: Which One Wins?

Are you wondering which AI model performs better: OpenAI’s O3 Mini or DeepSeek R1? In this head-to-head showdown, we put both models through real-world coding and reasoning tests, comparing their accuracy, speed, cost, context window, and overall performance.

???? What You’ll Learn in This Video:
✅ Coding Performance – Can these models generate functional, complex JavaScript code in a single pass?
✅ Reasoning Benchmarks – Which AI handles logical and problem-solving tasks better?
✅ Cost & Context Window – O3 Mini is twice as expensive as DeepSeek R1. Is it worth it?
✅ Misguided Attention Tests – Can these models correctly analyze tricky logic puzzles?
✅ API Reliability – Which model offers a more stable experience for developers?


???? Which model do you think is better? Let me know your thoughts in the comments!

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LINKS:
https://github.com/cpldcpu/MisguidedAttention
https://openai.com/index/openai-o3-mini/
https://x.com/deedydas/status/1885440582103031940/photo/1
https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-available-on-azure-ai-foundry-and-github/
https://community.aws/content/2sJofoAecl6jVdDwVqglbZwKz2E/hosting-deepseek-r1-on-amazon-eks


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