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Get started freeGPT-5 Nano vs o3-mini
Compare GPT-5 Nano and o3-mini. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Nano | o3-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $0.05/ 1M tokens | $1.10/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $4.40/ 1M tokens |
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Strengths & Best Use Cases
GPT-5 Nano
OpenAI1. Extremely fast performance
- Fastest model in the GPT-5 family.
- Great for real-time workflows, rapid responses, and high-throughput systems.
2. Most cost-efficient GPT-5 model
- Lowest input and output token costs.
- Suitable for large-scale or budget-sensitive applications.
3. Ideal for lightweight, well-scoped tasks
- Excels at summarization, classification, text extraction, and simple logic tasks.
- Best used when tasks are narrow and well-defined.
4. Multimodal input
- Accepts text + image as input.
- Outputs text only.
5. Broad tool support
- Supports Web Search, File Search, Image Generation (as a tool), Code Interpreter, and MCP.
- (Does not support Computer Use.)
o3-mini
OpenAI1. High-intelligence small reasoning model
- Delivers strong reasoning performance in a compact footprint.
- Ideal for tasks that need intelligence but must stay cost-efficient.
2. Excellent for developer workflows
- Supports Structured Outputs, function calling, and Batch API.
- Reliable for backend automation, agents, and data-processing pipelines.
3. Strong text reasoning capabilities
- Handles multi-step logic, natural language analysis, SQL translation, entity extraction, and content generation.
- Works well for landing pages, policy summaries, and knowledge extraction (as shown in built-in examples).
4. 200K context window
- Allows large documents, multi-step analysis, and long-running conversations.
- Reduces the need for aggressive chunking or external retrieval systems.
5. High 100K-token output limit
- Enables long explanations, multi-section documents, or detailed reasoning sequences.
6. Pure text-focused model
- Input/output is text-only (no image or audio support).
- Optimized for language-heavy reasoning and logic tasks.
7. Broad API compatibility
- Works across Chat Completions, Responses, Realtime, Assistants, Embeddings, Image APIs (as tools), and more.
- Supports streaming, function calling, and structured outputs.
8. Cost-efficient for production at scale
- Same cost/performance profile as o1-mini but with higher intelligence.
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 Nano
textData-Driven Infographics (Trends + Insights)
Create a plan for data-driven infographics that communicate trends and persona insights while reinforcing your USP’s impact on challenges.
Real Estate Listing Description
Write captivating property descriptions that highlight key features and attract potential buyers.
Value-Added Service Inquiry (Pre-Arrival Email)
Write a polite pre-arrival email to request fee waivers or courtesy upgrades like premium Wi‑Fi and early check-in.
Best for o3-mini
textSales Call Script Generator
Create effective sales call scripts with discovery questions, objection handling, and closing techniques.
Digital Marketing Plan (Channel + Funnel Blueprint)
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Social Media Content Calendar Generator
Generate a complete month of social media content ideas organized by platform, content type, and posting schedule.
Build Apps Powered by AI
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