Comparative Analysis of AI Models (DeepSeek, OpenAI, Gemini) in Building Real Applications Using Cursor AI

Posted by u/lukaszluk6 months agoCurated from Reddit

Project Information

Project Type
Medium
Type of Project
AI-assisted Application Development
Problem Type
Comparative Analysis and Benchmarking

Tags

ai-models
benchmarking
application-development
cursor-ai
comparative-analysis
code-generation
performance-testing

AI Models Mentioned

DeepSeek R1
Code generation and application development
OpenAI o1
Code generation and application development
Gemini 2.0
Code generation and application development

Summary

A developer conducted a practical comparison of three leading AI models (DeepSeek, OpenAI o1, and Gemini) by building three different applications using Cursor AI. The experiment involved creating a mood tracking app, recipe generator, and whack-a-mole game, with DeepSeek achieving the highest performance score of 77.66%. The analysis provides detailed insights into each model's strengths and weaknesses for different use cases.

Best Practices

Model Selection Based on Use Case

critical

Choose AI models based on specific project requirements rather than overall performance scores

Consider Multiple Models

important

Don't rely on a single AI model as a universal solution

Common Mistakes to Avoid

Avoid Single Model Dependency

critical

Don't base your entire development strategy on a single AI model

Don't Ignore Cost Considerations

important

Avoid selecting models purely based on performance metrics without considering budget implications

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