o3 as my primary AI coding model?
AI Summary
This video discusses the evaluation of the GPT-4o3 (referred to as 03) model for coding purposes, especially in AI-assisted coding tools. Key points include:
- The price of GPT-4o3 has dropped significantly, making it more affordable compared to Claude Sonnet 4.
- It has a 200,000 token context window and a knowledge cutoff as of May 31, 2024.
- The model struggles with complex, multi-file coding tasks and is inconsistent for daily coding use.
- 03 performs better in Codec CLI, where it did a reasonably good job refactoring and completing applications after some iteration.
- Despite some odd behaviors (e.g., deleting files unexpectedly), Codec CLI with 03 feels smoother than other implementations.
- It works well with Repo Prompt, a Mac-native application for composing AI coding prompts, though not as an agentic coding tool.
- 03 is better suited as a research and brainstorming model rather than a rapid coding assistant, with 03 Pro being much slower.
- The creator concludes 03 has limitations for daily driver coding but is excellent for architectural planning and research workflows.
- OpenAI’s 80% price reduction potentially makes 03 a viable option for architecting and planning.
- The video invites feedback from viewers about their experiences using 03 in AI coding tools.
Overall, the video provides a thorough hands-on review of GPT-4o3’s capabilities, limitations, and ideal use cases in coding, especially highlighting cost benefits and suitability for certain workflows but not as a full daily coding agent.