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Get started freeGPT-5 Nano vs o4-mini
Compare GPT-5 Nano and o4-mini. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5 Nano | o4-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 |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by GPT-5 Nano, o4-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.)
o4-mini
OpenAI1. Fast and efficient reasoning
- Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
- Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.
2. Optimized for coding tasks
- Performs exceptionally well in code generation, debugging, and explanation.
- Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.
3. Strong visual reasoning
- Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
- Great for hybrid text-image reasoning flows.
4. Large 200K-token context window
- Capable of processing long documents, multi-file codebases, or extended analysis.
- Reduces need for chunking or external retrieval pipelines.
5. High 100K-token output limit
- Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.
6. Broad API compatibility
- Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
- Supports streaming, function calling, structured outputs, and fine-tuning.
7. Cost-efficient for production
- Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.
8. Succeeded by GPT-5 mini
- GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.
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
textKPI Definition Document
Define a set of KPIs with formulas, owners, and targets for a team.
Task Prioritisation
Apply a prioritisation framework to a list of tasks and decide what to do first.
Professional Apology Letter
Write a professional apology for a workplace mistake or misunderstanding. Maintains dignity while taking accountability.
Best for o4-mini
textSocratic Seminar Questions
Generate deep Socratic questioning prompts for a class discussion.
Math Problem Set
Generate a differentiated math problem set for a specific skill or concept.
Website SEO Plan (Persona Problem Keywords)
Optimize your website SEO by targeting persona problem keywords and showcasing your USP through high-intent content.