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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
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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 Read More Prompt Engineering
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