Model Swapping

Switch between AI models mid-conversation without losing context. Continue the same conversation with different models seamlessly.

What is Model Swapping?

Model Swapping lets you change which AI model you're talking to while keeping the entire conversation history intact. Start with one model, switch to another, and the new model sees everything that happened before.

Why Use It?

  • Compare Approaches - See how different models handle the same context
  • Cost Optimization - Start with expensive model, continue with cheaper one
  • Specialized Tasks - Use the best model for each part of your work
  • No Context Loss - Full conversation history preserved

How to Use

In Lab Chat

  1. Start a conversation with any model
  2. Click the model dropdown at the top
  3. Select a different model
  4. Continue chatting - new model has full context

Example Workflow

[Using GPT-4]
You: Explain quantum computing
GPT-4: [Detailed technical explanation]

[Switch to Claude 3.5 Sonnet]
You: Now explain it for a 10-year-old
Claude: [Simple explanation, building on GPT-4's context]

[Switch to Gemini]
You: Give me 3 analogies
Gemini: [Creates analogies based on entire conversation]

Use Cases

Research Projects

  • Use GPT-4 for initial research
  • Switch to Claude for writing
  • Switch to Gemini for final review

Cost Management

  • Start with premium model for complex setup
  • Switch to cheaper model for routine follow-ups
  • Save 40-60% on costs

Specialized Tasks

  • Use Claude for creative writing
  • Switch to GPT-4 for technical accuracy
  • Switch to Gemini for large context analysis

Tips

  • Model swap doesn't create new conversation - it continues the same one
  • All models see the full history
  • Different models may interpret context differently
  • Check costs before switching to more expensive models
  • Save interesting model swaps as snapshots

Limitations

  • Some models handle context differently
  • Very long conversations may hit token limits
  • Costs vary significantly between models

Next Steps


Previous: โ† Lab Batch Compare | Next: Snapshots โ†’

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