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Get started freeGPT-5 Pro vs o3
Compare GPT-5 Pro and o3. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Pro | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $15.00/ 1M tokens | $2.00/ 1M tokens |
| Output Cost | $120.00/ 1M tokens | $8.00/ 1M tokens |
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Build your first app freeStrengths & Best Use Cases
GPT-5 Pro
OpenAI1. Highest reasoning quality in the GPT-5 family
- Uses significantly more compute to "think harder" before responding.
- Designed for the toughest reasoning tasks where answer quality matters more than speed.
- Produces more precise, reliable, and detailed outputs than standard GPT-5.
2. Advanced multi-turn reasoning via Responses API
- Available only in the Responses API to support:
- Multi-turn internal model interactions before returning a reply.
- Advanced control patterns (e.g., background mode for long-running jobs).
- Ideal for complex workflows, deep planning, and multi-step analysis.
3. Configured for maximum effort by default
- Always runs with reasoning.effort: 'high' (no lower-effort mode).
- Prioritizes depth and correctness over latency and cost.
4. Multimodal input
- Accepts text + image as input.
- Outputs text, with strong instruction-following and analysis capabilities.
5. Tooling and ecosystem integration
- Supports Web Search, File Search, and Image Generation (as tools).
- Supports MCP and other Responses API tooling patterns.
- Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + tools.
o3
OpenAI1. Advanced reasoning capability
- Designed for multi-step thinking across text, code, and visual inputs.
- Excels at math, science, logic puzzles, and complex analytical workflows.
2. Strong performance across domains
- Highly capable in technical writing, data analysis, and structured problem-solving.
- Useful for research, engineering tasks, and intricate instruction-following.
3. Visual reasoning support
- Accepts image inputs, enabling tasks such as diagram analysis, chart interpretation, and visual logic assessments.
4. High output capacity
- Up to 100,000 output tokens, supporting long-form content, technical breakdowns, and multi-part solutions.
5. Excellent instruction following
- Produces detailed, step-by-step responses for tasks requiring precision and clarity.
- Ideal for educational explanations, system design reasoning, and code walkthroughs.
6. Large 200K context window
- Handles long documents, multi-file reasoning, or extended conversations with minimal loss of context.
7. Broad API support
- Works with Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, Image Generation, and more.
- Supports streaming and function calling for advanced workflows.
8. Positioned as a legacy reasoning model
- Remains extremely capable but formally succeeded by GPT-5, which offers stronger reasoning and performance.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5 Pro
textEmployer Visa Support Letter
Write an employer letter supporting an employee's visa application. Confirms employment, travel purpose, and return guarantee.
Home Warranty Explainer Email
Explain home warranty options to a buyer client in plain language. Helps buyers make an informed decision at closing.
Destination Comparison Guide
Write a destination comparison guide helping travelers choose between two similar destinations. Objective, structured, and entertaining.
Best for o3
textLinkedIn Recommendation Request
Ask a colleague or manager for a LinkedIn recommendation. Guides them on what to highlight for maximum impact.
Referral Program Announcement Copy
Write copy to launch or promote a customer referral program.
Financial Model Explanation
Explain a financial model in plain language for a non-finance audience.