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Large Language Models

Solo developer reveals how GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro each excel at different coding tasks after three months of daily use.

r/artificial · April 18, 2026

Solo developer reveals how GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro each excel at different coding tasks after three months of daily use.

AI Summary

  • •GPT-4o dominates rapid prototyping with strong boilerplate generation and reliable function calling, though it can be confidently incorrect on obscure APIs
  • •Claude 3.5 Sonnet leads at code refactoring and understanding existing structures, offering better explanations but erring on the side of caution with edge cases
  • •Gemini 1.5 Pro's 1M token context window is valuable for searching large codebases, but it ranks weakest at generating actual code logic
  • •The developer's optimal workflow combines Claude for architecture decisions, GPT-4o for rapid development, and Gemini as a codebase search tool
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