GitBook Assistant Ask chevron-down Tutorials Choosing Your AI Model: GPT-4 vs Claude vs Gemini Compare GPT-4, Claude, Gemini, Groq, and other LLMs for your AI agents. Learn which model to choose for different use cases and how to optimize costs.
One of PromptOwl's key advantages is multi-LLM support. But with five providers and dozens of models, how do you choose? This guide helps you pick the right model for your use case.
Quick Decision Guide
Just want a recommendation?
Use Case
Recommended Model
Why
Best at following instructions, natural tone
Creative, good with style and formatting
10x faster than competitors
Real-time information access
Cost-Sensitive High Volume
GPT-4o-mini or Claude Haiku
Providers Overview
PromptOwlarrow-up-right supports five LLM providers:
Models: GPT-4o, GPT-4o-mini, GPT-4, o1, o1-mini
Model
Speed
Quality
Cost
Best For
High volume, simple tasks
Strengths:
Most widely used, extensive documentation
Strong at following complex instructions
Weaknesses:
Occasional "assistant-brain" feel
Anthropic (Claude)
Models: Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku
Model
Speed
Quality
Cost
Best For
Strengths:
Most natural, human-like conversations
Excellent at following nuanced instructions
Strong safety and refusal behaviors
Great for customer-facing applications
Weaknesses:
Can be overly cautious sometimes
Less code-focused than GPT-4
Google (Gemini)
Models: Gemini Pro, Gemini Flash
Model
Speed
Quality
Cost
Best For
Strengths:
Strong multimodal capabilities
Integration with Google services
Weaknesses:
Less consistent than OpenAI/Anthropic
Smaller developer community
Can struggle with complex instructions
Models: Llama 3.1 70B, Llama 3.1 8B, Mixtral 8x7B
Model
Speed
Quality
Cost
Best For
Strengths:
10x faster than other providers
Open source models (Llama, Mixtral)
Great for real-time applications
Weaknesses:
Less refined than GPT-4/Claude
Models: Grok-2, Grok-2-mini
Model
Speed
Quality
Cost
Best For
Strengths:
Real-time information access
Less restrictive than competitors
Strong reasoning capabilities
Weaknesses:
Choosing by Use Case
Customer Support
Recommended: Claude 3.5 Sonnet or Claude 3 Haiku
Why:
Most natural conversational tone
Excellent at following support guidelines
Good at expressing empathy
Handles frustrated users well
Settings:
Content Generation
Recommended: GPT-4o or Claude 3.5 Sonnet
Why:
Creative and engaging writing
Good at matching brand voice
Settings:
Recommended: GPT-4o or Claude 3 Opus
Why:
Strong reasoning capabilities
Good with numbers and patterns
Can explain findings clearly
Handles complex instructions
Settings:
Real-Time Applications
Recommended: Groq Llama 3.1 70B
Why:
10x faster response times
Low latency for interactive apps
Good enough quality for most tasks
Settings:
Research Assistant
Recommended: GPT-4o or Claude 3.5 Sonnet with Web Search Tool
Why:
Strong reasoning capabilities
Pair with PromptOwl's Serper or Brave search tools
Excellent at synthesizing information
Great for fact-checking and analysis
Settings:
Enable web search tool in PromptOwl
High-Volume / Cost-Sensitive
Recommended: GPT-4o-mini, Claude 3 Haiku, or Groq Llama 3.1 8B
Why:
10-20x cheaper than flagship models
Still capable for simple tasks
Settings:
Cost Comparison
Approximate pricing (per 1M tokens):
Model
Input
Output
Relative Cost
Cost optimization strategies:
Use cheap models for simple routing/classification
Use expensive models only for final response
Limit max tokens to what's needed
Mixing Models in PromptOwl
PromptOwl lets you use different models for different purposes:
Per-Agent Model Selection
Each agent can use a different model:
Support bot → Claude 3.5 Sonnet
Quick classifier → GPT-4o-mini
Per-Block Model Selection (Sequential/Supervisor)
In workflows, each block can use a different model:
Supervisor Multi-Model Patterns
Testing Model Differences
Use PromptOwl's evaluation system to compare:
Create an evaluation set with test questions
Run the same prompt with different models
Compare results on quality and speed
Check costs in your provider dashboards
A/B Testing Pattern
Create two versions of your agent (same prompt, different models)
Split traffic between them
Collect annotations/feedback
Compare satisfaction scores
Frequently Asked Questions
Which model is "best"?
There's no single best model. It depends on:
Your use case (support vs. content vs. analysis)
Start with Claude 3.5 Sonnet or GPT-4o as a baseline, then optimize.
Should I always use the most expensive model?
No. For many use cases, smaller models work fine:
Simple Q&A: GPT-4o-mini is enough
Routing/classification: Cheap models work well
High volume: Cost adds up fast with expensive models
Strategy: Use expensive models for complex tasks, cheap models for simple ones.
How do I switch models without breaking my agent?
PromptOwl makes this easy:
Go to your agent settings
Change the model dropdown
Test with your evaluation set
Deploy if quality is maintained
Your prompt and API stay the same.
Can I use different models in one workflow?
Yes! In Sequential and Supervisor agents, each block can use a different model. This is powerful for cost optimization.
What about fine-tuned models?
PromptOwl supports fine-tuned models through the standard provider APIs. Configure your fine-tuned model ID in the model settings.
Quick Reference
Claude 3.5 Sonnet or GPT-4o
GPT-4o-mini or Gemini Flash
Ready to try multiple models? Get started with PromptOwlarrow-up-right - connect all your API keys and experiment.