GPT-5
GPT-5 is OpenAI's flagship reasoning model, offering exceptional capabilities for complex problem-solving, detailed analysis, and nuanced content generation.
Overview
| Property | Value |
|---|---|
| Provider | OpenAI |
| Cost | 20 credits |
| Modality | Text |
| Vision | ✅ Yes (multiple images) |
| Prompt Required | Yes |
What It's Best For
- Complex reasoning — Multi-step problem solving and logical analysis
- Code generation — Writing and debugging code across languages
- Detailed analysis — Processing and synthesizing complex information
- Creative writing — Nuanced, high-quality content generation
- Image understanding — Analyzing multiple images with context
Inputs
Prompt (Required)
The main text input describing what you want the model to do.
Connection Color: 🟡 Yellow
Image Input (Optional)
Send images to the model for analysis. Supports multiple images.
Connection Color: 🟢 Green (from image nodes)
Configuration
System Prompt
Type: Textarea
Set the assistant's behavior and persona. This instruction shapes how the model responds to all prompts.
Example:
You are a senior marketing strategist with 20 years of experience.
Provide detailed, actionable advice with specific examples.
Reasoning Effort
Type: Select
Controls how much computational effort the model puts into reasoning through complex problems.
| Option | Description |
|---|---|
| Minimal (Fastest) | Quick responses, less deep thinking |
| Low | Basic reasoning, good for simple tasks |
| Medium | Balanced reasoning depth |
| High (Most Thorough) | Maximum reasoning, best for complex problems |
Default: Minimal
Note: Higher reasoning efforts may require more max_completion_tokens to complete properly.
Verbosity
Type: Select
Controls how concise or comprehensive the response is.
| Option | Description |
|---|---|
| Low (Concise) | Brief, to-the-point responses |
| Medium | Balanced detail level |
| High (Comprehensive) | Detailed, thorough explanations |
Default: Medium
Max Completion Tokens
Type: Number
Maximum number of tokens the model can generate. Increase this for longer outputs or when using higher reasoning efforts.
Tip: If responses seem cut off, increase this value.
Output
Type: Text
Connection Color: 🟡 Yellow
The model outputs generated text that can be connected to:
- Other text nodes for further processing
- Image generation nodes (as prompts)
- Video generation nodes (as prompts)
Use Cases
Content Generation
Write a compelling product description for a sustainable water bottle
that highlights its eco-friendly materials and innovative design.
Code Review
Review this Python function for potential bugs, performance issues,
and suggest improvements following best practices.
Image Analysis
Connect an image node and ask:
Analyze this marketing image. What emotions does it evoke?
What improvements would make it more effective for a Gen Z audience?
Multi-Image Comparison
Connect multiple image nodes:
Compare these three product photos. Which one has the best composition
for an e-commerce listing? Explain your reasoning.
Tips for Best Results
- Use system prompts — Define the model's expertise and tone
- Be specific — Detailed prompts yield better outputs
- Adjust reasoning — Use higher effort for complex tasks
- Set appropriate verbosity — Match output length to your needs
- Iterate — Refine prompts based on initial outputs
Pricing Considerations
At 20 credits per run, GPT-5 is a premium model. Consider:
- Use Llama 3 8B (2 credits) for simple tasks
- Use DeepSeek V3.1 (10 credits) for medium complexity
- Reserve GPT-5 for tasks requiring maximum quality
Related Models
- Gemini 2.5 Flash — Faster, with video understanding
- Claude 4.5 Sonnet — Excellent for long-form writing
- DeepSeek V3.1 — Cost-effective alternative