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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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With Appaca you don't have to pick — build apps that are powered by GPT-5 Nano, o3-mini, for your specific use case.
Build your first app freeStrengths & 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
textLinkedIn Thought Leadership Post
Craft a LinkedIn post that positions you as an expert in your field.
IP Infringement Response Plan
Outline a response plan when receiving a notice of IP infringement.
Funding Terms Explainer
Explain common startup funding terms in a term sheet in plain language.
Best for o3-mini
textChange Management Announcement
Write a clear internal announcement communicating an organisational change.
Positive Review Response
Respond to positive customer reviews in a way that reinforces brand warmth and encourages repeat buying.
Capital Expenditure Justification
Write a capital expenditure request with financial and strategic justification.