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OpenAI o3
OpenAI O 3 April 16, 2025
Featured
OpenAI's flagship reasoning model with 200K context window, excelling at complex multi-step problems.
What is it good for?
Primary Use Cases
Tool Integration: API calls, data processing, automated workflows
Long Documents: Research papers, books, large codebases analysis
Content Creation: Writing, editing, summarization, translation
Code Assistance: Programming help, debugging, code review
Best For
Business Applications: Customer service, content generation
Specifications & Pricing
Pricing
Input / 1M tk
$2.0000
Output / 1M tk
$8.0000
Est. cost in USD
💡 What does this cost in practice?
📖 300-page book:~200,000 tokens ≈ $0.4000
📄 Research paper:~15,000 tokens ≈ $0.0300
💬 Chat conversation:~1,000 tokens ≈ $0.0020
✍️ Generated response:~500 tokens ≈ $0.0040
Usage Guidance
How to Prompt This Model
✨ General Tips
🎯Be Specific: Detail the desired outcome, format, tone, and constraints.
🎭Set Context: Explain your role or the purpose (e.g., "Act as a helpful architect...").
📝Specify Format: Request bullet points, JSON, markdown, code blocks, etc.
🔄Iterate: Refine prompts based on responses. Don't expect perfection first try.
🚀 Best Practices for OpenAI o3
Large Context Window
Leverage the 200K context by including full documents, multiple examples, or comprehensive background information.
Function Calling
Describe your goal naturally. The model will determine which tools to use and in what order.
📋 Example Prompts
Content Creation Example
Write a professional email to a client explaining a project delay. The project is a website redesign, the delay is due to additional security requirements, and the new timeline is 2 weeks. Keep the tone apologetic but confident.Function Calling Example
I need to schedule a team meeting for next Tuesday at 2 PM. First check everyone's availability, then book a conference room that fits 8 people, and finally send calendar invites to the team.Long Document Analysis
[Attach full research paper]\n\nAnalyze this research paper and provide:\n1. A 3-sentence summary of the main findings\n2. List of 5 key methodologies used\n3. Potential limitations or biases\n4. How this relates to current industry practices\n5. Actionable insights for a product manager