Choosing the Right AI Model for Your Watermelon Agent
This guide helps you select the best AI model for your chatbot or AI agent in Watermelon. It includes simple explanations, use case recommendations, and a full comparison to help you make a clear and fast decision.
What You’ll Learn
- What the terms like reasoning, speed, context window, and tokens mean
- What models are available in Watermelon
- Which model is best for your specific use case
Key Concepts
| Term | Meaning |
|---|---|
| Reasoning | How well the model thinks through complex tasks |
| Speed | How fast the model responds |
| Input | What types of data it can understand (text, image) |
| Output | What kind of responses it gives back (usually text) |
| Context Window | How much of the conversation the model can remember |
| Max Output Tokens | The longest response the model can give (measured in tokens/words) |
| Knowledge Cutoff | The date of the latest information the model knows |
Model Overview
Watermelon supports the following models:
- GPT-5, GPT-5-mini, GPT-5-nano, GPT-5-chat
- GPT-4.1, GPT-4.1-mini, GPT-4.1-nano
- GPT-4o
- GPT-o3, GPT-o3-mini
Each model has different strengths. See the matrix in the blog 'Choosing the right model for your AI Agent' for the full breakdown.
Use Case Recommendations
| Use Case | Recommended Model(s) | Why? |
|---|---|---|
| Complex customer service flows | GPT-5, GPT-o3 | Strongest reasoning for difficult flows |
| Fast replies & fallback answers | GPT-5-nano, GPT-4.1-nano | Very fast and lightweight |
| Long conversation memory | GPT-4.1, GPT-4.1-mini | Large context memory |
| Real-time answers about recent updates | GPT-5, GPT-5-chat | Newest training knowledge |
| Multilingual agents | GPT-5, GPT-4.1, GPT-4o | Excellent language capabilities |
| Internal agents (HR, IT, Finance) | GPT-5-mini, GPT-4.1-mini | Smart and good memory |
| Workflow automation (AI Actions) | GPT-5, GPT-5-chat | Strong reasoning, structured output, ideal for workflows |
Updated 3 days ago