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Compare GPT-5 and o3. Build AI products powered by either model on Appaca.
Create an AI-powered appModel Comparison
| Feature | GPT-5 | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $1.25/ 1M tokens | $2.00/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $8.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5
OpenAI1. High reasoning capability
- Designed for intelligent reasoning across complex domains.
- Supports reasoning tokens and adjustable reasoning effort.
2. Strong coding and agentic performance
- Optimized for multi-step coding tasks, tool-use chains, and agent workflows.
- Handles complex logic, planning, and structured problem solving reliably.
3. Multimodal input
- Accepts text + image as input.
- Produces text outputs with strong instruction following.
4. Extensive tool support
- Works with Web Search, File Search, Image Generation (as a tool), Code Interpreter, MCP, and more.
- Integrated across Chat Completions, Responses API, Realtime, Assistants, Batch, Embeddings, etc.
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
textTwitter/X Thread Generator
Create viral Twitter threads that educate, entertain, and grow your following with compelling hooks and strategic formatting.
Lead Nurturing Email Series (Education + Objections)
Create a lead nurturing email series that educates prospects, ties your USP to outcomes, and overcomes persona objections and challenges.
Create Discovery Questions (Interrogatories + RFPs + RFAs)
Generate clear, organized discovery questions and requests tailored to a specific legal issue and case theory.
Best for o3
textReferral Program (Incentives + Mechanics)
Create a referral marketing program that incentivizes your persona to share your USP with peers facing similar challenges.
Social Media Content Calendar Generator
Generate a complete month of social media content ideas organized by platform, content type, and posting schedule.
Video Tutorials (Implementation Walkthroughs)
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
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