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Get started freeGPT-5 Nano vs GPT-4.1 Mini
Compare GPT-5 Nano and GPT-4.1 Mini. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Nano | GPT-4.1 Mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,047,576 tokens |
| Input Cost | $0.05/ 1M tokens | $0.40/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $1.60/ 1M tokens |
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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.)
GPT-4.1 Mini
OpenAI1. Fast, Lightweight, and Cost-Efficient
- Designed for speed with low latency, making it ideal for high-volume, real-time applications.
- More affordable than larger GPT-4.1 and GPT-5 models, enabling scalable deployments.
2. Strong Instruction Following
- Excels at following structured instructions and producing concise, deterministic outputs.
- Suitable for assistants, command-style interfaces, and tools that require stable, predictable behavior.
3. Reliable Tool Calling & Structured Outputs
- Built with strong support for:
- Function calling
- Structured outputs (JSON, typed objects)
- Systematic workflows
- Ideal for automation, reasoning over parameters, and multi-step tool pipelines.
4. Multimodal Input (Text + Image)
- Accepts both text and image as input.
- Useful for tasks such as:
- Image captioning
- UI element reading
- Visual question answering
5. Text-Only Output for Clarity
- Outputs text only, ensuring clean and consistent results for:
- Data extraction
- Summaries
- Code comments
- Chat responses
6. Massive 1M-Token Context Window
- Supports 1,047,576 tokens, enabling:
- Long documents or books
- Large codebases
- Extensive conversation memory
- Great for long-context reasoning without requiring chunking.
7. Practical for Everyday AI Applications
- Sweet spot for:
- Customer support agents
- Content rewriting
- Lightweight analysis
- Classification and tagging
- Workflow assistants
- Recommended primarily for simpler use cases, with GPT-5 Mini suggested for more complex tasks.
8. Broad API Support
- Available across:
- Chat Completions
- Responses
- Realtime
- Assistants
- Other major API endpoints
- Compatible with long-context modes for large-scale retrieval and processing.
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
textEmail Subject Line Variations
Generate a batch of A/B-testable email subject lines for a campaign. Saves time and improves open rates.
Technical Interview Questions
Generate structured technical interview questions for a specific engineering role.
Vocabulary Exercise Set
Create vocabulary exercises to build and reinforce student word knowledge.
Best for GPT-4.1 Mini
textDelinquent Rent Notice
Write a professional delinquent rent notice letter. Clear, firm, and legally informative without being aggressive.
Commercial Property Listing
Write a commercial real estate listing description for office, retail, or industrial space. Speaks to business tenants and investors.
Privacy Policy Draft
Draft a privacy policy for a website or app that collects user data.