OpenAI O3 & O4 Mini: The First True Reasoning Agents?

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I tested GPT-4.1 on my own coding benchmark. Its impressive but the intelligence vs cost doesn't justify to replace better options like Gemini-2.5 Pro from Google. Learn more here! LINK: https://openai.com/index/introducing-o3-and-o4-mini/ https://github.com/openai/codex https://www.swebench.com/#verified https://github.com/sierra-research/tau-bench https://aider.chat/docs/leaderboards/ https://x.com/testingcatalog/status/1912554631776915480 https://x.com/kimmonismus/status/1912556524037079300/photo/1 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 OpenAI's Revolutionary O3 and O4 Mini Models: A New Benchmark in AI Tools and Reasoning In this video, we unpack OpenAI's latest groundbreaking announcement featuring the release of two new models: O3 and O4 Mini. These models mark the first time reasoning models can effectively use tools, overcoming a major limitation of previous models. With native multimodal reasoning capabilities, enhanced tool usage, and improved performance in coding, math, science, and visual perception, these models set a new standard in AI performance. The video also introduces OpenAI's Codex CLI for terminal-based reasoning and discusses the significant performance improvements and cost optimizations compared to the previous O1 models. Stay tuned for detailed benchmarks, real-world tests, and comparisons with competitors' models. 00:00 Introduction to OpenAI's New Models 00:39 Tool Usage and Multimodal Capabilities 01:06 Model Replacements and Enhancements 01:57 Performance Benchmarks and Real-World Applications 03:40 Cost Efficiency and Usage Limits 05:23 Instruction Following and Coding Performance 10:43 Reinforcement Learning and Tool Integration 15:14 Pricing and Codex CLI 16:37 Conclusion and Future Expectations