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Compare GPT-5 Mini and o3. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Mini | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $0.25/ 1M tokens | $2.00/ 1M tokens |
| Output Cost | $2.00/ 1M tokens | $8.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5 Mini
OpenAI1. High reasoning performance
- Retains strong reasoning capabilities despite being a smaller, faster model.
- Suitable for tasks requiring accurate logic and structured thinking.
2. Fast and cost-efficient
- Optimized for speed, making it ideal for real-time or high-volume workloads.
- Far cheaper than GPT-5 while maintaining solid capability.
3. Great for well-defined tasks
- Excels when prompts are precise and objectives are clearly specified.
- More predictable and stable for deterministic workflows.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Tool support
- Works with Web Search, File Search, Code Interpreter, MCP.
- (Does not support Image Generation as a tool and does not support Computer Use.)
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 Mini
textSales Call Script Generator
Create effective sales call scripts with discovery questions, objection handling, and closing techniques.
Employee Advocacy Program (Social Sharing System)
Create an employee advocacy program that helps your team share USP-focused content and engage with persona conversations about challenges.
Marketing Event Strategy (Workshops + Networking)
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
Best for o3
textDynamic Price Drop Checker: Book vs Wait Strategy
Decide whether to book now or wait by analyzing seasonality, events, and rebooking strategy for business hotels.
Influencer Campaign (Partner + Brief + Measurement)
Design an influencer marketing campaign that reaches your persona via credible partners while reinforcing your USP and persona challenges.
Customer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.
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