Wondering which model to pick for your AI integration? It often comes down to response quality, time, and cost. LangDB’s Chat lets you compare GPT, Claude, and Gemini and many other models side by side:
Send identical prompts to all three models in one interface.
Analyze response accuracy, coherence, and tone.
Measure execution time, latency, and cost.
Chat Interface in LangDB
Query: "Summarize the potential risks and benefits of AI-driven automated trading in financial markets, focusing on efficiency, transparency, and ethical concerns."
LangDB provides detailed insights into the API calls made to various providers. Here's an example of a traces in LangDB:
| Model | Execution Time | Cost |
|---|---|---|
| GPT-4o | 12.44 sec | $0.637 |
| Claude 3.5 Sonnet | 11.40 sec | $0.013 |
| Gemini 1.5 Pro | 7.47 sec | $0.384 |
These metrics allow developers to track performance, latency, and associated costs for each model efficiently.
Supported Models
Why Perform Model Comparisons?
Directly comparing LLMs helps developers:
Select the Best Model: Choose the model that performs best for your specific use case.
Optimize Costs and Performance: Compare API costs, execution times, and token efficiency.
LangDB’s Chats feature eliminates the operational friction of testing models. It provides a clean, user-friendly platform for experimenting with the latest AI models without any extra configuration.
Get Started with LangDB
Stop guessing which model works best—test them side by side with LangDB Chats. Compare the latest and best AI models effortlessly, optimize performance, and unlock new possibilities without writing or managing infrastructure.
Start building smarter AI systems today—and let LangDB handle the heavy lifting.
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